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510(k) Data Aggregation

    K Number
    K171822
    Date Cleared
    2017-09-20

    (93 days)

    Product Code
    Regulation Number
    862.1345
    Reference & Predicate Devices
    Why did this record match?
    Applicant Name (Manufacturer) :

    Biotest Medical Corporation

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The NuvoMed Wireless Blood Glucose Monitoring System (Model BGM-6/0352) consists of the NuvoMed Wireless Blood Glucose Monitor and the NuvoMed Blood Glucose Test Strip. The NuvoMed Wireless Blood Glucose Monitoring System (Model BGM-6/0352) is intended to be used for the quantitative measurement of glucose in fresh capillary whole blood drawn from the fingertips or forearm. The NuvoMed Wireless Blood Glucose Monitoring System (Model BGM-6/0352) is intended to be used by a single person and should not be shared.

    The NuvoMed Wireless Blood Glucose Monitoring System (Model BGM-6/0352) is intended for self-testing outside the body (in vitro diagnostic use) by people with diabetes at home as an aid in monitoring the effectiveness of a diabetes control program.

    The NuvoMed Wireless Blood Glucose Monitoring System (Model BGM-6/0352) should not be used for the diagnosis of or screening of diabetes or for neonatal use. Alternative site testing should be done only during steady state times (when glucose is not changing rapidly).

    Device Description

    The NuvoMed Wireless Blood Glucose Monitoring System (Model BGM-6/0352) is a product kit consisting of a blood glucose meter, test strips, a lancing device, sterile lancets, instructions for use, and a carrying case. No control solution is included in the kit; however, user may purchase NuvoMed Control Solution Level 1, 2 or 3 from his/her system provider if needed. The NuvoMed Blood Glucose Meter uses NuvoMed Blood Glucose Test Strips. Neither the meter nor the test strips will work when used with any other brand of glucose products.

    AI/ML Overview

    I am sorry, but the provided text does not contain the specific details about the acceptance criteria and the comprehensive study results (including sample sizes, data provenance, expert qualifications, adjudication methods, MRMC studies, standalone performance, ground truth types, and training set information) that would be needed to fulfill all aspects of your request.

    The document is a 510(k) premarket notification for a medical device (NuvoMed Wireless Blood Glucose Monitoring System) and primarily focuses on demonstrating substantial equivalence to a predicate device. While it mentions "Verification and Validation Activities" and "similar acceptance criteria" to the predicate, it does not explicitly list these criteria or provide detailed study data.

    Here's what I can extract and what is missing:

    1. Table of acceptance criteria and reported device performance:

    • Acceptance Criteria (Implied/General): The document states that "Testing was performed to establish that design outputs met pre-established design inputs as per design specifications (verification), specifically for the Bluetooth mediated data transmission functionality feature. Design validation ensured that the design meets user needs, and validation activities were conducted as necessary (per 21 CFR820.30)." It also mentions "similar acceptance criteria" to the predicate device. However, the specific numerical or qualitative acceptance criteria are not detailed in the provided text.
    • Reported Device Performance: The document confirms that the device was tested and "All the documents, including test reports, referenced are on file at Biotest Medical Corporation." It also states, "Verification and validation testing showed the risk control to be acceptable." However, the actual performance metrics (e.g., accuracy, precision, bias) are not reported in the provided text.

    2. Sample sized used for the test set and the data provenance:

    • Missing: The document does not specify the sample sizes used for any of the verification and validation tests.
    • Missing: Data provenance (e.g., country of origin, retrospective/prospective) is not mentioned for any test data.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:

    • Not Applicable/Missing: For a blood glucose monitoring system, the "ground truth" is typically established by laboratory reference methods (e.g., YSI analyzer) rather than expert consensus on images or interpretations. The document does not mention the type or number of experts for ground truth establishment.

    4. Adjudication method for the test set:

    • Not Applicable/Missing: As the ground truth is not established by human review/interpretation in this context, adjudication methods are not relevant or mentioned.

    5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done, and the effect size of how much human readers improve with AI vs without AI assistance:

    • Not Applicable: This device is a blood glucose meter, not an AI-powered diagnostic imaging system that would involve human readers interpreting cases. Therefore, an MRMC study is not relevant and not mentioned.

    6. If a standalone (i.e. algorithm only without human-in-the loop performance) was done:

    • Partially Applicable, but details missing: The device itself acts as a "standalone" algorithm for measuring glucose. The document confirms that "Testing was performed to establish that design outputs met pre-established design inputs as per design specifications (verification), specifically for the Bluetooth mediated data transmission functionality feature." However, the results and detailed methodology of this "standalone" performance for glucose measurement (e.g., accuracy against a reference method) are not provided.

    7. The type of ground truth used:

    • Implied (but not explicitly stated): For blood glucose monitoring systems, the ground truth is typically established using a highly accurate laboratory reference method (e.g., YSI glucose analyzer). This type of information is generally part of the analytical and clinical performance studies, which are alluded to but not detailed in this 510(k) summary.

    8. The sample size for the training set:

    • Not Applicable/Missing: This device is not described as using a machine learning model that would require a "training set" in the conventional AI sense. The "training" here would refer to the device's factory calibration and design, not an AI model.

    9. How the ground truth for the training set was established:

    • Not Applicable/Missing: See point 8.

    In summary: The provided document is a regulatory submission demonstrating substantial equivalence for a medical device. It states that verification and validation activities were performed and that the device meets its design inputs and user needs. However, it does not provide the detailed acceptance criteria, specific study results, sample sizes, ground truth establishment methods, or other in-depth study information that your request asks for. This level of detail would typically be found in the full test reports referenced in the submission but are not part of this summary document.

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    K Number
    K171785
    Date Cleared
    2017-09-15

    (92 days)

    Product Code
    Regulation Number
    862.1345
    Reference & Predicate Devices
    Why did this record match?
    Applicant Name (Manufacturer) :

    Biotest Medical Corporation

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The WowGoHealth Blood Glucose Monitoring System (Model GSH-BGM902) consists of the WowGoHealth Blood Glucose Monitor and the WowGoHealth Blood Glucose Test Strip. The WowGoHealth Blood Glucose Monitoring System (Model GSH-BGM902) is intended to be used for the quantitative measurement of glucose in fresh capillary whole blood drawn from the fingertips or forearm. The WowGoHealth Blood Glucose Monitoring System (Model GSH-BGM902) is intended to be used by a single person and should not be shared.

    The WowGoHealth Blood Glucose Monitoring System (Model GSH-BGM902) is intended for self-testing outside the body (in vitro diagnostic use) by people with diabetes at home as an aid in monitoring the effectiveness of a diabetes control program.

    The Wow GoHealth Blood Glucose Monitoring System (Model GSH-BGM902) should not be used for the diagnosis of or screening of diabetes or for neonatal use. Alternative site testing should be done only during steady state times (when glucose is not changing rapidly).

    Device Description

    The WowGoHealth Blood Glucose Monitoring System (Model GSH-BGM902) is a product kit consisting of a blood glucose meter (meter), test strips, a lancing device, lancets, and instructions for use. Control solution Level 1, Level 2 or 3 are available and sold separately. When glucose reacts with the reagents on the test strips, an electrical current is produced. The current is proportional to the glucose concentration in the blood sample. The meter will calculate glucose concentration based on the current measured. The device can show results either in "mg/dL" or "mmol/L". The factory set default for the meter is mg/dL. Apart from the existing measurement features and user interface of the device's predicate, the device is featured with Bluetooth mediated data transmission functionality which wirelessly transfers the latest test result to an APP run on a mobile device every time when a test is performed successfully.

    AI/ML Overview

    The provided document is a 510(k) premarket notification for the WowGoHealth Blood Glucose Monitoring System, Model GSH-BGM902. It describes the device, its intended use, and compares it to a predicate device. The document primarily focuses on demonstrating substantial equivalence through technical characteristics and a summary of design control activities/testing, rather than providing detailed clinical study results to prove specific performance acceptance criteria for the entire device.

    This document describes a "Special 510(k)" submission, which is for minor modifications to a previously cleared device. As such, detailed clinical performance studies, such as those that would typically establish the initial performance criteria and prove their met, are generally not included in these types of submissions, since the fundamental technological characteristics are considered largely unchanged. The focus is on demonstrating that the modifications do not adversely affect safety or effectiveness.

    Therefore, much of the requested information regarding acceptance criteria and a study to prove the device meets the acceptance criteria (especially clinical performance data for accuracy against a reference method) is not present in the provided text. The document refers to "similar acceptance criteria" to the predicate, implying that the predicate's performance has already been established.

    However, I can extract information related to the modifications and their verification:

    1. A table of acceptance criteria and the reported device performance

    The document does not provide a specific table of acceptance criteria for overall device performance (e.g., accuracy against a lab reference method for glucose measurement), nor detailed reported device performance for these parameters. It focuses on the equivalence to the predicate.

    For the modifications, the acceptance criteria are implicitly that the new features function as intended and do not introduce unacceptable risks. The document states:

    • "The analyses revealed that the modifications required similar V&V testing to the predicate SuperCheck Plus device, with similar acceptance criteria, as testing revealed no significant additional risk from the modifications."
    • "Testing was performed to establish that design outputs met pre-established design inputs as per design specifications (verification), specifically for the Bluetooth mediated data transmission functionality feature."
    • "Design validation ensured that the design meets user needs, and validation activities were conducted as necessary (per 21 CFR820.30)."

    The "reported device performance" for the new features is described by their functionality:

    • Reposition of the control test flag ("cotr"): This is a visual change on the meter display. The "performance" is that it displays "cotr" instead of "C". (Fig. 3)
    • Bluetooth mediated data transmission functionality: The meter "has the capability to wirelessly transfer the latest test result to an APP run on a mobile device every time when a test is performed successfully." If data transmission fails, the user can manually enter it. During transmission, "bLE" and test time flash alternately. (Fig. 4)
    • Change of meter's housing color: The quality of housing materials is unchanged, only the color from black to white. (Fig. 5)

    2. Sample size used for the test set and the data provenance (e.g., country of origin of the data, retrospective or prospective)

    The document does not specify general "sample sizes" for a clinical test set in the way one might expect for a de novo submission establishing accuracy. It mentions specific testing related to the modifications:

    • Usability study on Bluetooth functionality: A usability study was conducted, but the sample size is not stated.
    • Bench study on robustness to cleaning/disinfection: This study was conducted, but the sample size (number of devices/test cycles) is not stated.
    • Safety and reliability testing, EMC testing, and FCC testing: These were performed by "qualified outsourced labs" using "protocols following applicable CDRH guidelines and related standards." No sample sizes or data provenance (country, retrospective/prospective) are specified for these.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g., radiologist with 10 years of experience)

    This information is not provided. The document does not describe the establishment of ground truth for glucose measurements, as this would typically be established for the foundational technology (the predicate device) or within an accuracy study, which is not detailed here.

    4. Adjudication method (e.g., 2+1, 3+1, none) for the test set

    Not applicable. This document does not describe a clinical study that would require adjudication of expert readings or similar methods.

    5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

    Not applicable. This device is a blood glucose monitoring system, not an AI-assisted diagnostic imaging device.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

    This refers to the performance of the device itself. The document implicitly relies on the performance of the predicate device for the core glucose measurement accuracy, stating that the "fundamental scientific technology... remains unchanged." Specific standalone accuracy results for this modified device are not provided in the scope of this Special 510(k).

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)

    The document does not explicitly state the type of ground truth used for performance validation of the core glucose measurement, as this would have been established for the predicate device (K141351). For blood glucose meters, ground truth is typically established by laboratory reference methods (e.g., YSI analyzer) with traceable standards. For the modifications, the "ground truth" for the Bluetooth functionality is whether data is successfully transmitted and displayed, and for robustness, whether the device withstands cleaning/disinfection.

    8. The sample size for the training set

    Not applicable. This is not an AI/ML device that requires a training set in the typical sense.

    9. How the ground truth for the training set was established

    Not applicable.

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    K Number
    K141351
    Date Cleared
    2015-05-19

    (362 days)

    Product Code
    Regulation Number
    862.1345
    Reference & Predicate Devices
    Why did this record match?
    Applicant Name (Manufacturer) :

    Biotest Medical Corp.

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The SuperCheck Plus Multi Blood Glucose Monitoring System (Model 5228-M) is composed of the SuperCheck Plus Multi Test Strips and SuperCheck Plus Multi Blood Glucose Meter and is intended to be used for the quantitative measurement of glucose in fresh capillary whole blood drawn from fingertips or forearm, or in venous whole blood. The Super Check Plus Multi Blood Glucose Monitoring System(Model 5228-M) is intended for testing outside the body (in vitro diagnostic use) and is intended for multiple-patient use in a professional healthcare setting as an aid to monitor the effectiveness of a diabetes control program. This system should only be used with single-use, auto-disabling lancets.

    The SuperCheck Plus Multi Blood Glucose Monitoring System (Model 5228-M) should not be used for the diagnosis of or screening of diabetes or for neonatal use. Alternative site testing should be done only during steady state times (when glucose is not changing rapidly).

    The SuperCheck Plus Multi Test Strips are for use with the SuperCheck Plus Multi Blood Glucose Meter to quantitatively measure glucose in fresh capillary whole blood drawn from fingertips or forearm, or in venous whole blood.

    The SuperCheck Plus Multi Control Solutions are for use with the SuperCheck Plus Multi Blood Glucose Monitoring System (Model 5228-M) as a quality control check to verify that the meter and test strips are working together properly.

    The SuperCheck Plus Blood Glucose Monitoring System (Model 5228-S) is intended to be used for the quantitative measurement of glucose in fresh capillary whole blood drawn from the fingertips or forearm. The SuperCheck Plus Blood Glucose Monitoring System (Model 5228-S) is intended to be used by a single person and should not be shared. The SuperCheck Plus Blood Glucose Monitoring System(Model for self-testing outside the body(in vitro diagnostic use) by people with diabetes at home as an aid in monitoring the effectiveness of a diabetes control program. The SuperCheck Plus Blood Glucose Monitoring System (Model 5228-S) should not be used for the diagnosis of or screening of diabetes or for neonatal use. Alternative site testing should be done only during steady state times (when glucose in not changing rapidly).

    The SuperCheck Plus Test Strips are for use with the SuperCheck Plus Blood Glucose Meter to quantitatively measure glucose in fresh capillary whole blood drawn from the fingertips or forearm.

    The SuperCheck Plus Control Solutions are for use with the SuperCheck Plus Blood Glucose Monitoring System (Model 5228-S) as a quality control check to verify that the meter and test strips are working together properly.

    Device Description

    The SuperCheck Plus Blood Glucose Monitoring System (Model 5228-S) (also applicable to: SuperCheck Plus Multi Blood Glucose Monitoring System (Model 5228-M)) is a product kit consisting of a blood glucose meter, test strips, control solutions, a lancing device, lancets, and instructions for use.

    The data download functionality is optionally available and sold separately. To perform a test, when a small drop of blood is applied to the end of the test strip, glucose reacts with the reagents on the test strip, producing an electrical current that is proportional to the blood glucose concentration. The glucose concentration is calculated by the glucose meter and is based on the electrical current measured. The quantitative glucose concentration (in mg/dL or mmol/L) is displayed on the display screen.

    AI/ML Overview

    Here's an analysis of the acceptance criteria and supporting studies for the SuperCheck Plus Blood Glucose Monitoring System, based on the provided document:

    1. Table of Acceptance Criteria and Reported Device Performance

    The acceptance criteria for accuracy are not explicitly stated in a single consolidated table in the document, but rather described in the text, referencing ISO 15197 for precision and generally implying agreement with a reference method (YSI 2300) for overall system accuracy. The document states that the system "met the acceptance criteria" without detailing the specific criteria for system accuracy (e.g., percentage within a certain range). For precision, ISO 15197 is mentioned, which typically has performance targets based on CV (Coefficient of Variation) or absolute differences. I will infer based on the stated performance.

    Acceptance CriteriaReported Device PerformanceStudy Type
    Precision
    Repeatability Precision (within-run)
    Glucose
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    K Number
    K133509
    Date Cleared
    2014-02-21

    (99 days)

    Product Code
    Regulation Number
    862.1345
    Reference & Predicate Devices
    Why did this record match?
    Applicant Name (Manufacturer) :

    Biotest Medical Corp.

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    For single patient use

    Easy Plus II Blood Glucose Monitoring System, Model 6276-S

    The Easy Plus II Blood Glucose Monitoring System Model 6276-S is intended to be used for the quantitative measurement of glucose in fresh capillary whole blood drawn from the finger and the forearm. The Easy Plus II Blood Glucose Monitoring System Model 6276-S is intended to be used by a single person and should not be shared.

    The Easy Plus II Blood Glucose Monitoring System Model 6276-S is intended for self-testing outside the body(in vitro diagnostic use) by people with diabetes at home as an aid in monitoring the effectiveness of a diabetes control program. The Easy Plus II Blood Glucose Monitoring System Model 6276-S should not be used for the diagnosis of or screening of diabetes or for neonatal use. Alternative site testing should be done only during steady state times (when glucose in not changing rapidly).

    The Easy Plus II Test Strips are for use with the Easy Plus II Blood Glucose Meter to quantitatively measure glucose in fresh capillary whole blood drawn from the finger and the forearm.

    The Easy Plus II Control Solutions are for use with the Easy Plus II Blood Glucose Monitoring System Model 6276-S as a quality control check to verify that the meter and test strips are working together properly.

    Smartest Persona II Blood Glucose Monitoring System, Model 6276-S

    The Smartest Persona II Blood Glucose Monitoring System Model 6276-S is intended to be used for the quantitative measurement of glucose in fresh capillary whole blood drawn from the finger and the forearm. The Smartest Persona II Blood Glucose Monitoring System Model 6276-S is intended to be used by a single person and should not be shared.

    The Smartest Persona II Blood Glucose Monitoring System Model 6276-S is intended for self-testing outside the body(in vitro diagnostic use) by people with diabetes at home as an aid in monitoring the effectiveness of a diabetes control. The Smartest Persona II Blood Glucose Monitoring System Model 6276-S should not be used for the diagnosis of or screening of diabetes or for neonatal use.

    Alternative site testing should be done only during steady state times (when glucose in not changing rapidly).

    The Smartest Persona II Test Strips are for use with the Smartest Persona II Blood Glucose Meter to quantitatively measure glucose in fresh capillary whole blood drawn from the finger and the forearm.

    The Smartest Persona II Control Solutions are for use with the Smartest Persona II Blood Glucose Monitoring System Model 6276-S as a quality control check to verify that the meter and test strips are working together properly.

    For multiple patient use

    Easy Plus II Multi Blood Glucose Monitoring System, Model 6276-M

    The Easy Plus II Multi Blood Glucose Monitoring System Model 6276-M is intended to be used for the quantitative measurement of glucose in fresh capillary whole blood drawn from the finger and the forearm. The Easy Plus II Multi Blood Glucose Monitoring System Model 6276-M is intended for testing outside the body (in vitro diagnostic use) and is intended for multiple-patient use in a profession healthcare setting as an aid to monitor the effectiveness of a diabetes control program. This system should only be used with single-use, auto-disabling lancets.

    The Easy Plus II Multi Blood Glucose Monitoring System Model 6276-M should not be used for the diagnosis of or screening of diabetes or for neonatal use. Alternative site testing should be done only during steady state times (when glucose in not changing rapidly).

    The Easy Plus II Multi Test Strips are for use with the Easy Plus II Blood Glucose Multi Meter to quantitatively measure glucose in fresh capillary whole blood drawn from the finger and the forearm.

    The Easy Plus II Multi Control Solutions are for use with the Easy Plus II Multi Blood Glucose Monitoring System Model 6276-M as a quality control check to verify that the meter and test strips are working together properly.

    Smartest Persona II Multi Blood Glucose Monitoring System, Model 6276-M

    The Smartest Persona II Multi Blood Glucose Monitoring System Model 6276-M is intended to be used for the quantitative measurement of glucose in fresh capillary whole blood drawn from the finger and the forearm. The Smartest Persona II Multi Blood Glucose Monitoring System Model 6276-M is intended for testing outside the body (in vitro diagnostic use) and is intended for multiple-patient use in a profession healthcare setting as an aid to monitor the effectiveness of a diabetes control program. This system should only be used with single-use, auto-disabling lancets.

    The Smartest Persona II Multi Blood Glucose Monitoring System Model 6276-M should not be used for the diagnosis of or screening of diabetes or for neonatal use. Alternative site testing should be done only during steady state times (when glucose in not changing rapidly).

    The Smartest Persona II Multi Test Strips are for use with the Smartest Persona II Blood Glucose Multi Meter to quantitatively measure glucose in fresh capillary whole blood drawn from the finger and the forearm.

    The Smartest Persona II Multi Control Solutions are for use with the Smartest Persona II Multi Blood Glucose Monitoring System Model 6276-M as a quality control check to verify that the meter and test strips are working together properly.

    Device Description

    The Easy Plus II Blood Glucose Monitoring System, Model 6276-5 (also applicable to: Easy Plus II Multi Blood Glucose Monitoring System, Model 6276-M; Smartest Persona II Blood Glucose Monitoring System, Model 6276-S; Smartest Persona II Multi Blood Glucose Monitoring System, Model 6276-M) is a product kit consisting of a blood glucose meter, test strips, control solutions, a lancing device, lancets, and instructions for use. The data download functionality is optionally available and sold separately.

    To perform a test, a glucose test strip is inserted into the top of the device. When a small drop of blood is applied to the end of the test strip, glucose reacts with the reagents on the test strip, producing an electrical current that is proportional to the blood glucose concentration. The glucose concentration is calculated by the glucose meter and is based on the electrical current measured. The quantitative glucose concentration (in mg/dL or mmol/L) is displayed on the display screen.

    AI/ML Overview

    The provided text is a 510(k) Summary for a blood glucose monitoring system. It primarily focuses on demonstrating substantial equivalence to a predicate device rather than providing a detailed study report with specific acceptance criteria and performance data in the format typically used for AI/ML device evaluations.

    The submission is for modifications to a previously cleared device, indicating that the core performance (accuracy of glucose measurement) was established by the predicate device (Easy Talk Blood Glucose Monitoring System, Model 6277, K100560). The changes are described as:

    • Voice feature change: from talking to non-talking (removal of speaker and software module).
    • Housing design modification: for style and market differentiation.

    The document explicitly states: "Easy Plus II (6276-S) and Easy Plus II Multi (6276-M) Blood Glucose Monitoring Systems, in all functions and specifications are exactly same as Easy Talk Blood Glucose Monitoring System (Model 6277) except for the talking feature and housing design. The modifications in talking feature and housing design will not affect the intended use of the device, and it will not significantly affect safety or effectiveness." This implies that the performance in terms of glucose measurement accuracy is considered unchanged from the predicate device.

    Therefore, the requested information regarding acceptance criteria, device performance, sample sizes, ground truth establishment, expert involvement, and comparative effectiveness for glucose measurement accuracy is not directly detailed in this document for the new device. The performance studies mentioned focus on the safety aspects related to the modifications (disinfection, robustness, ease of use after modifications).

    Below is a breakdown of the information that can be extracted or inferred based on the provided text, and where the information is not available as it relates to the modifications rather than re-evaluating the core performance.


    1. Table of Acceptance Criteria and Reported Device Performance

    | Criterion | Acceptance Criteria | Reported Device Performance |
    | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
    | Disinfection Efficacy | Not explicitly stated (implied to be complete inactivation) | "Clorox® Bleach Germicidal Wipes (EPA Reg No: 67619-12) was validated, demonstrating complete inactivation of live virus for use with the meters." (Specifically for Hepatitis B virus (HBV)). |
    | Robustness (Cleaning/Disinfection Cycles) | Not explicitly stated (implied to withstand 3-year use life) | "demonstrated that there was no change in performance or in the external materials of the meters after 11,000 cycles of cleaning and 11,000 cycles of disinfection to simulate the claimed 3 year use life." |
    | Lay User Ease of Use and Labeling Comprehension | Not explicitly stated (implied all users should find it "very easy to use" and manuals "easy to use") | "All users answered that Easy Plus II and Smartest Persona II Blood Glucose Monitoring Systems were very easy to use and the user manuals were written to make the devices easy to use." |
    | Glucose Measurement Accuracy | Not provided in this document (Performance is claimed to be equivalent to the predicate device K100560) | "in all functions and specifications are exactly same as Easy Talk Blood Glucose Monitoring System (Model 6277)" |

    2. Sample Size Used for the Test Set and Data Provenance

    • Disinfection Studies: Sample size not specified. Data provenance is a "third party testing service."
    • Robustness Studies: Sample size not specified (refers to "the meters").
    • Lay User Questionnaire: 20 lay users. Data provenance is likely from the region where the study was conducted (not specified, but the submitter is in Taiwan). The study is prospective in nature for these lay users.
    • Glucose Measurement Accuracy: Not applicable to this submission as it relies on the predicate's performance.

    3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of Those Experts

    • Disinfection Studies: A third-party testing service was used. The specific number and qualifications of experts involved in establishing ground truth (i.e., verifying virus inactivation) are not provided.
    • Robustness Studies: Not applicable.
    • Lay User Questionnaire: The "ground truth" here is the user's subjective experience. No external experts are mentioned as establishing a ground truth for user-friendliness.
    • Glucose Measurement Accuracy: Not applicable to this submission. For the predicate device, ground truth for blood glucose accuracy would typically be established by a laboratory reference method, not by experts adjudicating readings.

    4. Adjudication Method for the Test Set

    • Disinfection Studies: Not explicitly described, but typical for such studies involves laboratory methods to confirm virus inactivation.
    • Robustness Studies: Not applicable.
    • Lay User Questionnaire: "All users answered" implies a survey or direct questioning, not a formal adjudication process.
    • Glucose Measurement Accuracy: Not applicable to this submission.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done

    No, an MRMC comparative effectiveness study was not done. This device is a blood glucose monitoring system, not an AI/ML diagnostic interpretation tool that would typically involve multiple readers interpreting cases.

    6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Was Done

    This question is not directly applicable in the context of this device. A blood glucose meter functions as a standalone device to measure glucose. Its performance (accuracy) is assessed inherently as a standalone system. The modifications outlined in this submission (voice feature, housing design) do not affect the "algorithm's" core function or performance.

    7. The Type of Ground Truth Used

    • Disinfection Studies: Laboratory testing for complete inactivation of live virus (e.g., HBV).
    • Robustness Studies: Visual inspection and performance testing after cycles of cleaning/disinfection.
    • Lay User Questionnaire: User feedback/self-reported ease of use.
    • Glucose Measurement Accuracy (Implicit, from predicate): Laboratory reference methods (e.g., YSI analyzer) for blood glucose concentration.

    8. The Sample Size for the Training Set

    No training set is mentioned or applicable in the context of this 510(k) submission, which describes hardware and minor software modifications to a medical device, not an AI/ML algorithm requiring a distinct training phase.

    9. How the Ground Truth for the Training Set Was Established

    Not applicable, as no training set is mentioned for this submission.

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    K Number
    K123559
    Date Cleared
    2013-06-28

    (221 days)

    Product Code
    Regulation Number
    862.1345
    Reference & Predicate Devices
    Why did this record match?
    Applicant Name (Manufacturer) :

    Biotest Medical Corp.

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The SOLUSmobile Blood Glucose Management System is intended for use in the quantitative measurement of glucose in fresh capillary whole blood from the finger and the forearm. It is intended for use by a single patient with diabetes mellitus at home as an aid in monitoring the effectiveness of a diabetes control program, and should not be shared. SOLUSmobile is not intended for the diagnosis of or screening for diabetes mellitus, nor for use in neonates. The alternative site testing (forearm) in this system can only be used during steady-state blood glucose conditions. This system contains an audible readout function that provides an audible message of test results for users. The SOLUSmobile Blood Glucose Management System uses cellular data transmission to send test results to a cloud server, Telemed-Gluconet.

    The SOLUSmobile Blood Glucose Test Strips are to be used with the SOLUSmobile Blood Glucose Meter to quantitatively measure glucose in fresh capillary whole blood from the finger and the forearm. These test strips are intended for use by a single patient with diabetes mellitus at home and should not be shared.

    The SOLUSmobile Control Solutions are for use with SOLUSMobile Meter and Test Strips to check that the meters and test strips are working together properly and that the test is performing correction. A control test that falls within the stated range indicates the user technique is appropriate and the test strip and meter are functioning properly.

    Device Description

    The SOLUSmobile (Model 6134) is a product kit consisting of blood glucose meter, test strips, control solutions, a lancing device, lancets, battery charger and charging cable, and instructions for use.

    To perform a test, a glucose test strip is inserted into the top of the monitor. When a small drop of blood is applied to the end of the test strip, glucose reacts with the reagents on the test strip, producing an electrical current that is proportional to the blood glucose concentration. The glucose concentration is calculated by the glucose meter and is based on the electrical current measured. The quantitative glucose concentration (in mg/dL or mmol/L) is displayed on the display screen.

    An embedded cellular communications module within the SOLUSmobile meter enables automatic wireless data transmission over the Wireless cellular network between the meter and a Central Data Repository (Cloud server).

    The test strips, control solutions, lancing device, and lancets are identical to previously cleared devices. The fundamental scientific technology of the SOLUSmobile except the device's communications capabilities remains unchanged from the legally marketed predicate device, SOLO V2 (K093764).

    AI/ML Overview

    This document describes the SOLUSmobile Blood Glucose Management System (Model 6134), but it does not contain the specific performance study results, acceptance criteria, or most of the other requested details regarding clinical validation of glucose measurement accuracy.

    The provided text focuses on:

    • Device Description and Intended Use: Explains what the device is, how it works, and its purpose (quantitative measurement of glucose in capillary whole blood for diabetes management).
    • Comparison to Predicate Device: Highlights changes from a previous model (SOLO V2), primarily related to wireless data transmission, battery improvements, and minor physical alterations.
    • Performance Studies (General): Mentions that disinfection studies were performed to validate cleaning procedures and ensure efficacy against blood-borne pathogens (HBV). It also states robustness studies were conducted to simulate 3 years of use. It broadly refers to "verification and validation testing" to assess changes and demonstrate that "design outputs... meet the predetermined acceptance criteria of the design input requirements."
    • Conclusion: States that the device demonstrates "satisfactory performance, is suitable for its intended use, and is substantially equivalent to the predicate device."
    • FDA K-Number Letter and Indications for Use: Standard regulatory documents.

    Missing Information:

    The document explicitly states "Performance Studies" but then only details disinfection and robustness studies, along with a general statement about meeting predetermined acceptance criteria. It does not provide data from studies assessing the accuracy of the glucose measurements themselves (e.g., against laboratory reference methods, or ISO 15197 standards). Therefore, I cannot extract the specific acceptance criteria for glucose accuracy or the reported device performance in those terms.

    Without this crucial information, I cannot complete most of the requested table and detailed bullet points.


    Based on the available information, here is what can be inferred or stated about the device and its validation, with clear indications of what is missing:

    1. Acceptance Criteria and Reported Device Performance

    For Glucose Measurement Accuracy:

    • Acceptance Criteria for Glucose Measurement: NOT PROVIDED IN THE TEXT. Typically, blood glucose meters are evaluated against standards like ISO 15197, which define accuracy criteria (e.g., a certain percentage of results within ±15% or ±20% of a reference value for different glucose ranges). This document does not state such criteria or present results that meet them.
    • Reported Device Performance for Glucose Measurement: NOT PROVIDED IN THE TEXT. The document does not share any data on the accuracy (e.g., bias, precision, percentage agreement with a reference method) of the SOLUSmobile's glucose readings.

    For Disinfection Efficacy and Robustness (the only studies detailed):

    Acceptance CriteriaReported Device Performance Statement
    Complete inactivation of live virus (HBV)"Clorox® Bleach Germicidal Wipes (EPA Reg. No. 67619-12) was validated, demonstrating complete inactivation of live virus for use with the meter and lancing device."
    No change in performance or external materials after simulated use"The robustness studies were also conducted and demonstrated that there was no change in performance or in the external materials of the meter and lancing device after 11,000 cycles of cleaning and 11,000 cycles of disinfection to simulate the claimed 3 years of use by lay users."
    Hazards within acceptable range after mitigation"All hazards caused by the changes to the predicate device and the cleaning and disinfection were within the acceptable range after risk mitigation."

    2. Sample size used for the test set and the data provenance

    • For Glucose Measurement Accuracy: NOT PROVIDED IN THE TEXT. Sample size (number of subjects, number of blood samples) and data provenance for studies demonstrating glucose measurement accuracy are not mentioned.
    • For Disinfection and Robustness Studies: Sample sizes for these specific studies (e.g., number of devices tested for disinfection, number of cycles for robustness) are not precisely stated, though "11,000 cycles" are mentioned for robustness. Data provenance (e.g., country of origin, retrospective/prospective) for these studies is not specified, other than being conducted by "an outside testing service."

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

    • For Glucose Measurement Accuracy: NOT PROVIDED IN THE TEXT. Ground truth for glucose accuracy typically involves a highly accurate laboratory reference method (e.g., YSI analyzer), rather than expert consensus. No details on this are provided.
    • For Disinfection and Robustness Studies: Not applicable to "experts" for ground truth in the traditional sense; these are laboratory-based tests.

    4. Adjudication method for the test set

    • For Glucose Measurement Accuracy: NOT PROVIDED IN THE TEXT.
    • For Disinfection and Robustness Studies: Not applicable.

    5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

    • NOT APPLICABLE. This device is a blood glucose meter, not an AI-powered diagnostic imaging system requiring human reader interpretation. No MRMC study was done, nor would it be relevant for this type of device.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

    • YES, implicitly. Blood glucose meters inherently operate in a "standalone" fashion (algorithm-only) to measure and display glucose values. The output is directly presented to the user. The document implies this by discussing the meter's function and wireless transmission of results. However, direct "standalone performance" data (like accuracy metrics) are not provided.

    7. The type of ground truth used

    • For Glucose Measurement Accuracy: NOT PROVIDED IN THE TEXT. For blood glucose meters, the ground truth is typically a highly accurate laboratory reference method (e.g., YSI glucose analyzer) that measures plasma glucose concentration.
    • For Disinfection Efficacy: Live virus (HBV) was used.
    • For Robustness: Performance of the meter and external materials.

    8. The sample size for the training set

    • NOT APPLICABLE / NOT PROVIDED IN THE TEXT. This device is not described as using a machine learning algorithm that requires a "training set" in the context of diagnostic pattern recognition. The fundamental technology is electrochemical, detecting glucose concentrations directly.

    9. How the ground truth for the training set was established

    • NOT APPLICABLE / NOT PROVIDED IN THE TEXT. As the device is not described as having an AI-driven "training set" for its core function, this question is not relevant.
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    K Number
    K122525
    Date Cleared
    2013-05-02

    (255 days)

    Product Code
    Regulation Number
    862.1345
    Reference & Predicate Devices
    Why did this record match?
    Applicant Name (Manufacturer) :

    Biotest Medical Corp.

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Smartest™ Glucowise Blood Glucose Monitoring System is intended to be used for the quantitative measurement of glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips or forearm. It is intended for use by healthcare professionals and people with diabetes mellitus at home as an aid in monitoring the effectiveness of a diabetes control program.

    It is not intended for the diagnosis or screening for diabetes mellitus.

    The Smartest™ Glucowise Blood Glucose Monitoring System has the same intended use as previously cleared for the Smartest™ SuperCheck I Blood Glucose Monitoring System (K091815).

    The Smartest™ Glucowise Blood Glucose Monitoring System has done a cleaning and disinfection validation test to comply with "Letter to Manufacturers of Blood Glucose Monitoring Systems Listed with the FDA" dated September, 30th, 2010.

    For single patient use

    Smartest™ Glucowise Blood Glucose Monitoring System Model 6267-S

    The Smartest™ Glucowise Blood Glucose Monitoring System Model 6267-S is intended to be used for the quantitative measurement of glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips or forearm. The Smartest™ Glucowise Blood Glucose Monitoring System Model 1 6267-S is intended to be used by a single person and should not be shared.

    The Smartest™ Glucowise Blood Glucose Monitoring System Model 6267-S is intended for self-testing outside the body (in vitro diagnostic use) by people with diabetes at home as an aid to monitor the effectiveness of diabetes control. The Smartest™ Glucowise Blood Glucose Monitoring System Model 6267-S should not be used for the diagnosis of or screening of diabetes or for neonatal use. Alternative site testing should be done only during steady - state times (when glucose is not changing rapidly).

    The Smartest™ Glucowise Test Strips are for use with the Smartest™ Glucowise Blood Glucose Meter to quantitatively measure glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips or forearm.

    The Smartest™ Glucowise Control Solutions are for use with the Smartest™ Glucowise Blood Glucose Monitoring System Model 6267-S as a quality control check to verify that the meter and test strips are working together properly.

    For multiple patient use

    Smartest™ Glucowise MULTI Blood Glucose Monitoring System, Model 6267-M

    The Smartest™ Glucowise MULTI Blood Glucose Monitoring System Model 6267-M is intended to be used for the quantitative measurement of glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips or forearm. The Smartest™ Glucowise MULTI Blood Glucose Monitoring System Model 6267-M is intended for testing outside the body (in vitro diagnostic use) and is intended for multiple-patient use in a professional healthcare setting as an aid to monitor the effectiveness of diabetes control program. This system should only be used with single-use, auto-disabling lancets.

    The Smartest™ Glucowise MULTI Blood Glucose Monitoring System Model 6267-M should not be used for the diagnosis of or screening of diabetes or for neonatal use. Alternative site testing should be done only during steady - state times (when glucose is not changing rapidly).

    The Smartest™ Glucowise MULTI Test Strips are for use with the Smartest™ Glucowise MULTI Blood Glucose Meter to quantitatively measure glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips or forearm.

    The Smartest™ Glucowise MULTI Control Solutions are for use with the Smartest™ Glucowise MULTI Blood Glucose Monitoring System Model 6267-M as a quality control check to verify that the meter and test strips are working together properly.

    Device Description

    The Smartest™ Glucowise Blood Glucose Monitoring System (Model 6267-S, 6267-M) is a product kit consisting of a blood glucose meter, test strips, control solutions, a lancing device, lancets, and instructions for use. The data download functionality is optionally available and sold separately.

    To perform a test, a glucose test strip is inserted into the top of the device. When a small drop of blood is applied to the end of the test strip, glucose reacts with the reagents on the test strip, producing an electrical current that is proportional to the blood glucose concentration. The glucose concentration is calculated by the glucose meter and is based on the electrical current measured.

    The quantitative glucose concentration (in mg/dL or mmol/L) is displayed on the display screen.

    AI/ML Overview

    Here's an analysis of the provided text regarding the Smartest™ Glucowise Blood Glucose Monitoring System, focusing on acceptance criteria, performance, and study details.

    Important Note: The provided text is a 510(k) summary for a Special 510(k) submission. A Special 510(k) is used when a modification to an already cleared device does not significantly alter its safety or effectiveness. In this case, the modification was the removal of a "talking feature." Therefore, the submission primarily focuses on demonstrating that this change does not negatively impact the device's original performance, rather than conducting a full de novo performance study for the original device. This means much of the detailed performance data and study specifics (like sample sizes for training/test sets, expert qualifications, etc.) for the glucose measurement function itself are likely contained within the predicate device's (K091815) original submission, which is not included here. This document leverages the previous clearance.


    1. Table of Acceptance Criteria and Reported Device Performance

    Since this is a Special 510(k) and the primary modification is the removal of a talking feature, the document does not explicitly state new, specific acceptance criteria for glucose measurement performance. Instead, it asserts that the device's performance remains equivalent to the predicate device (Smartest™ SuperCheck 1, K091815), which was already cleared by the FDA.

    Therefore, the "reported device performance" is essentially that the Smartest™ Glucowise system retains the performance characteristics of the Smartest™ SuperCheck 1, as the modification (removing the talking feature) is stated to "not affect the intended use of the device, and it will not significantly affect safety or effectiveness."

    To understand the actual numerical acceptance criteria for glucose measurement accuracy, one would need to refer to the original K091815 submission for the predicate device.

    Acceptance Criteria (Implied, based on predicate equivalence)Reported Device Performance (Implied, based on predicate equivalence)
    Equivalent intended use as predicate device (K091815)Intended use remains the same (quantitative glucose measurement in capillary blood).
    No significant effect on safety or effectiveness due to voice feature removal.No significant effect on safety or effectiveness.
    Fundamental scientific technology employed remains unchanged.Fundamental scientific technology employed remains unchanged.
    Product sterilization, shelf-life, and biocompatibility unaffected.Product sterilization, shelf-life, and biocompatibility are equivalent to the predicate.

    2. Sample Size Used for the Test Set and Data Provenance

    The provided document does not specify a sample size for a test set related to the glucose measurement accuracy for the Smartest™ Glucowise device. This is because the submission is a "Special 510(k)" relying on the equivalence to a previously cleared device where only a non-performance-affecting modification (removal of a talking feature) was made.

    The document states: "Biotest Medical Corp. has conducted a risk analysis and has performed the necessary verification and validation activities to demonstrate that the design outputs of the modified device... meet the design input requirements." This suggests internal testing was done to confirm the removal of the talking feature did not inadvertently introduce new risks or affect existing functionalities. However, no details on test set sizes or data provenance for these specific "verification and validation activities" are provided in the summary.

    3. Number of Experts Used to Establish Ground Truth for the Test Set and Qualifications of Those Experts

    This information is not provided in the document. For a glucose monitoring system, "ground truth" for blood glucose levels is typically established using laboratory reference methods (e.g., YSI glucose analyzer), not expert consensus in the traditional sense of medical imaging or diagnosis. Since this is a Special 510(k), explicit details on expert involvement (beyond internal validation engineers) are not expected for this specific modification.

    4. Adjudication Method for the Test Set

    This information is not provided in the document. Adjudication methods are typically relevant for studies where human interpretation of data (e.g., medical images) is involved and multiple experts' opinions need to be reconciled. For a blood glucose meter, the "ground truth" is typically a quantitative laboratory measurement.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    No, an MRMC comparative effectiveness study was not done for this submission. MRMC studies are generally applicable to interpretive tasks where human readers' performance is being evaluated, often with and without AI assistance. This device is a blood glucose meter, which provides a quantitative reading, not an interpretive one involving human readers for diagnosis.

    6. Standalone (Algorithm Only Without Human-in-the-Loop Performance) Study

    This document does not describe a standalone performance study in the context of an "algorithm only" as typically discussed for AI/ML devices. The device is a standalone glucose measurement system. Its performance is evaluated by comparing its readings to a reference method, not by assessing an algorithm's performance in isolation from the hardware.

    The entire device is the "standalone" measurement system, and its performance for glucose measurement would have been established and cleared in the predicate device's submission (K091815). The current submission leverages that prior clearance.

    7. Type of Ground Truth Used

    Based on the nature of a blood glucose monitoring system, the ground truth for glucose measurements would typically be established using a laboratory reference method (e.g., YSI glucose analyzer) that provides highly accurate and precise glucose concentration values. This document does not explicitly state the ground truth method, but it is implied by the "quantitative measurement of glucose."

    8. Sample Size for the Training Set

    This information is not provided in the document. The device is a traditional electrochemical blood glucose meter, not a machine learning model that requires a "training set" in the common understanding of AI/ML. Its operational parameters are determined through calibration and manufacturing processes, not by training on a large dataset in the AI sense.

    9. How the Ground Truth for the Training Set Was Established

    As noted above, the concept of a "training set" as it applies to AI/ML devices is not relevant here. The device uses established chemical principles to measure glucose. Therefore, there is no "ground truth for the training set" to be established in the context of machine learning.

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    K Number
    K100560
    Date Cleared
    2010-05-12

    (72 days)

    Product Code
    Regulation Number
    862.1345
    Reference & Predicate Devices
    Why did this record match?
    Applicant Name (Manufacturer) :

    Biotest Medical Corp.

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Easy Talk Blood Glucose Monitoring System, is intended for use in the quantitative measurement of glucose in fresh capillary whole blood from the finger and the forearm. It is intended for use by healthcare professionals and people with diabetes mellitus at home and as an aid in monitoring the effectiveness of a diabetes control program. It is not intended for the diagnosis or screening for diabetes mellitus, nor for use with neonates.

    The alternative site testing (forearm) in this system can only be used during steady-state blood glucose conditions.

    This system contains a speaking function that provides audible test results for users with low vision.

    Device Description

    The Easy Talk Blood Glucose Monitoring System, consists of a blood glucose meter, test strips, control solutions, lancing device, and commercially available lancets. The meter has a bilingual speaking feature that provides audible test results for users with low vision. The forearm may be used as an alternate site for capillary blood.

    AI/ML Overview

    The provided text describes a 510(k) submission for the "Easy Talk Blood Glucose Monitoring System". While it mentions "clinical performance study" and "test results showed substantial equivalence", it does not provide specific acceptance criteria or detailed results of a study that proves the device meets those criteria in a quantitative manner that would allow for the tables and specific details requested.

    Here's an analysis based on the available information:

    1. A table of acceptance criteria and the reported device performance:

    • No specific quantitative acceptance criteria are provided in the document. Blood glucose monitoring systems typically have accuracy criteria based on ISO standards (e.g., ISO 15197) or FDA guidance, which define acceptable percentages of readings within certain deviation limits from a reference method. These are not present in this summary.
    • No reported device performance metrics (e.g., accuracy percentages, bias, precision) are provided. The document only states "The test results showed substantial equivalence."

    2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective):

    • Sample Size for Test Set: Not specified.
    • Data Provenance: Not specified, other than the submitter's address being in Taiwan. It's unclear if the study was conducted there or elsewhere. It is implied to be prospective as it's a "clinical performance study" for validation purposes.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience):

    • Not Applicable. For blood glucose monitors, the ground truth is typically established by laboratory reference methods (e.g., YSI analyzer) rather than expert consensus on images or interpretations. The document does not mention how ground truth was established, but it would almost certainly be a chemical laboratory method.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set:

    • Not Applicable. Adjudication methods like 2+1 or 3+1 are used in studies where human interpretation of medical images or data is involved and discrepancies need to be resolved. This is not relevant for a blood glucose monitoring system where ground truth is established by an objective chemical measurement.

    5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance:

    • No MRMC study was done. This type of study is for evaluating human performance (e.g., radiologists) with or without AI assistance, typically for image interpretation. This device is a standalone blood glucose meter and does not involve AI for human readers.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done:

    • Yes, a standalone performance study was done. The entire "Clinical Tests" section refers to the performance of the device itself ("Easy Talk Blood Glucose Monitoring System") in terms of usability and accuracy, without human-in-the-loop interaction beyond operating the device. The device is designed to provide a direct measurement; it's not an AI assisting a human.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc):

    • Inferred Ground Truth: While not explicitly stated, for blood glucose monitoring systems, the ground truth for accuracy studies is typically established by comparing the device's readings to those obtained from a central laboratory reference method (e.g., a YSI analyzer or similar highly accurate laboratory instrument) using venous blood samples.

    8. The sample size for the training set:

    • Not applicable / Not specified. Blood glucose monitoring systems, especially of this generation, do not typically use "training sets" in the machine learning sense. Their algorithms are based on established electrochemical principles, requiring calibration and validation, but not a "training set" of patient data for a machine learning model. If any internal calibration or algorithm refinement occurred using data, it's not described as a "training set".

    9. How the ground truth for the training set was established:

    • Not applicable. As explained in point 8, the concept of a "training set" with established ground truth in the context of machine learning is not described or indicated for this device.

    In summary: The provided 510(k) summary is very high-level regarding performance studies. It asserts that "extensive verification, validation and testing activities" were performed and the device "passed all of the tests based on pre-determined Pass/Fail criteria," and "The test results showed substantial equivalence" to a predicate device. However, it lacks the specific quantitative data, acceptance criteria, sample sizes, and methodological details required to fully address your request in a structured scientific manner. Such detailed information would typically be found in the full submission, not in the summary document.

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    K Number
    K100701
    Date Cleared
    2010-04-08

    (27 days)

    Product Code
    Regulation Number
    862.1345
    Reference & Predicate Devices
    Why did this record match?
    Applicant Name (Manufacturer) :

    Biotest Medical Corp.

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Smartest Persona Blood Glucose Monitoring System, is intended for use in the quantitative measurement of glucose in fresh capillary whole blood from the finger and the forearm. It is intended for use by healthcare professionals and people with diabetes mellitus at home and as an aid in monitoring the effectiveness of a diabetes control program. It is not intended for the diagnosis or screening for diabetes mellitus, nor for use with neonates.

    The alternative site testing (forearm) in this system can only be used during steady-state blood glucose conditions.

    This system contains a speaking function that provides audible test results for users with low vision.

    Device Description

    The Smartest Persona Blood Glucose Monitoring System consists of a blood glucose meter, test strips, control solutions, lancing device, and commercially available lancets. The meter has a bilingual speaking feature that provides audible test results for users with low vision. The forearm may be used as an alternate site for capillary blood.

    AI/ML Overview

    The provided text is a 510(k) summary for the Smartest Persona Blood Glucose Monitoring System. It describes the device, its intended use, comparison to a predicate device, and the conclusion that it is substantially equivalent. However, it does not include detailed information regarding acceptance criteria, specific performance study results, sample sizes for test or training sets, ground truth establishment, or expert involvement as requested in the prompt.

    Therefore, I cannot populate the requested information from the provided text. The document states that "Biotest Medical Corp. has conducted a risk analysis and has performed the necessary verification and validation activities to demonstrate that the design outputs of the modified device meet the design input requirements," but it does not elaborate on what those requirements or the results of those activities were.

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    K Number
    K093764
    Date Cleared
    2010-03-02

    (85 days)

    Product Code
    Regulation Number
    862.1345
    Reference & Predicate Devices
    Why did this record match?
    Applicant Name (Manufacturer) :

    Biotest Medical Corp.

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The SoloV2TM Blood Glucose Monitoring System, is intended for use in the quantitative measurement of glucose in fresh capillary whole blood from the finger and the forearm. It is intended for use by healthcare professionals and people with diabetes mellitus at home and as an aid in monitoring the effectiveness of a diabetes control program. It is not intended for the diagnosis or screening for diabetes mellitus, nor for use with neonates.

    The alternative site testing (forearm) in this system can only be used during steady-state blood glucose conditions.

    This system contains a speaking function that provides audible test results for users with low vision.

    Device Description

    The SoloV2TM Blood Glucose Monitoring System consists of a blood glucose meter, test strips, control solutions, lancing device, and commercially available lancets. The meter has a bilingual speaking feature that provides audible test results for users with low vision. The forearm may be used as an alternate site for capillary blood.

    AI/ML Overview

    The provided text does not contain detailed information about the acceptance criteria or a specific study proving the device meets said criteria. The document is a 510(k) summary for a blood glucose monitoring system, primarily focused on demonstrating substantial equivalence to a predicate device.

    Here's a breakdown of the information that is and is not present, based on your request:

    1. A table of acceptance criteria and the reported device performance:

    • Not present. The document states that Biotest Medical Corp. "has conducted a risk analysis and has performed the necessary verification and validation activities to demonstrate that the design outputs of the modified device meet the design input requirements." However, it does not detail what those acceptance criteria were (e.g., accuracy standards like ISO 15197) or present specific performance data.

    2. Sample size used for the test set and the data provenance (e.g., country of origin of the data, retrospective or prospective):

    • Not present. The document mentions "Performance Studies" in a very general way, but does not provide any specifics about sample sizes, study design (retrospective/prospective), or data provenance.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g., radiologist with 10 years of experience):

    • Not applicable/Not present. This type of information is typically relevant for studies involving subjective assessment (e.g., image interpretation), where expert consensus establishes ground truth. For a blood glucose monitoring system, the "ground truth" would typically be established by a laboratory reference method, not by expert consensus interpreting images. The document does not describe how ground truth was established for any performance studies.

    4. Adjudication method (e.g., 2+1, 3+1, none) for the test set:

    • Not applicable/Not present. Similar to point 3, adjudication methods (like 2+1 or 3+1) are used for resolving discrepancies in expert interpretations, which is not relevant for a blood glucose meter's performance assessment.

    5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance:

    • Not applicable/Not present. MRMC studies are used to evaluate the impact of AI on human reader performance, particularly in diagnostic imaging. This device is a blood glucose monitoring system and does not involve AI assistance for human readers in the way an imaging AI would.

    6. If a standalone (i.e., algorithm only without human-in-the-loop performance) was done:

    • Not applicable/Not present. While the device itself is a "standalone" system for measuring glucose, the concept of "standalone (algorithm only without human-in-the-loop performance)" is usually applied to AI algorithms that process data independently. This device is a physical diagnostic tool; its performance is inherently a standalone measurement. The document does not describe any specific "algorithm-only" performance study in the context of AI.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.):

    • Not explicitly stated, but inferred to be a laboratory reference method. For blood glucose meters, the ground truth is typically a highly accurate laboratory reference method (e.g., hexokinase method). The document does not explicitly state this, but it's the standard for such devices.

    8. The sample size for the training set:

    • Not applicable/Not present. This device is not described as involving machine learning or AI models that require a "training set" in the conventional sense. Its performance is based on its electrochemical measurement technology.

    9. How the ground truth for the training set was established:

    • Not applicable/Not present. As there's no mention of a training set for an AI/ML model, this information is not provided.

    In summary:

    The provided 510(k) summary for the SoloV2™ Blood Glucose Monitoring System focuses on demonstrating substantial equivalence to a predicate device (SuperCheck 1 Blood Glucose Monitoring System) by listing modifications and asserting that "necessary verification and validation activities" were performed. It does not include detailed performance data, specific acceptance criteria, or study methodologies that would address most of your requested points, which are more typically found in documents for AI/ML-based medical devices or more comprehensive clinical study reports.

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    K Number
    K091815
    Date Cleared
    2009-11-16

    (151 days)

    Product Code
    Regulation Number
    862.1345
    Reference & Predicate Devices
    Why did this record match?
    Applicant Name (Manufacturer) :

    Biotest Medical Corp.

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The SuperCheck 1 Blood Glucose Monitoring System, Model 6268, is intended for use in the quantitative measurement of glucose in fresh capillary whole blood from the finger and the forearm. It is intended for use by healthcare professionals and people with diabetes mellitus at home and as an aid in monitoring the effectiveness of a diabetes control program. The SuperCheck 1 Blood Glucose Monitoring System is not intended for the diagnosis of or screening for diabetes mellitus, nor for use with neonates.

    The alternative site testing (forearm) in this system can only be used during steady-state blood glucose conditions.

    This system contains a speaking function that provides audible test results for users with low vision.

    Device Description

    The SuperCheck 1 Blood Glucose Monitoring System, Model 6268 consists of a blood glucose meter, blood glucose test strips, control solutions, the lancing device, and lancets. The meter also comes with a speaking function that provides audible test results for users with low vision. The SuperCheck 1 Model 6268 allows the forearm to be used as an alternate site. User performance testing was conducted to support an over-the-counter indication.

    AI/ML Overview

    Here's a summary of the acceptance criteria and study information for the SuperCheck 1 Blood Glucose Monitoring System, Model 6268, based on the provided 510(k) summary:

    Please note: The provided document is a 510(k) summary, which often provides a high-level overview of performance studies without detailing every specific acceptance criterion or the exhaustive data from the studies themselves. Therefore, some requested information (like specific numerical acceptance criteria or full study details) is not explicitly present in the provided text. I will extract what is available.


    1. Table of Acceptance Criteria and Reported Device Performance

    Acceptance Criteria CategorySpecific Criteria (where available)Reported Device Performance
    Accuracy / PerformanceDemonstrated satisfactory performance for intended use.Studies demonstrated that the performance of the SuperCheck 1 system meets its intended use. The device is suitable for its intended use and substantially equivalent to the predicate device.
    Intended UseQuantitative measurement of glucose in fresh capillary whole blood from the finger and forearm. Use by healthcare professionals and people with diabetes mellitus at home as an aid in monitoring effectiveness of a diabetes control program. Not for diagnosis/screening or neonates. Alternative site testing (forearm) only during steady-state blood glucose conditions.The device fulfilled all aspects of its stated intended use.
    EquivalencyEquivalent technological characteristics and intended use as the predicate device (Prodigy Voice Blood Glucose Monitoring System).The SuperCheck 1 has equivalent technological characteristics and intended use as the Prodigy Voice Blood Glucose Monitoring System.
    Alternate Site TestingSupport for forearm as an alternate site.User performance testing was conducted to support an over-the-counter indication, including the forearm as an alternate site.

    Missing specific quantitative acceptance criteria: The 510(k) summary does not list specific numerical accuracy or precision acceptance criteria (e.g., % within ±15% of reference, ISO standards for blood glucose meters). It only states that the performance was "satisfactory" and "meets its intended use."


    2. Sample Size Used for the Test Set and Data Provenance

    • Sample Size: Not explicitly stated. The document mentions "The performance... was studied in the laboratory and in clinical settings by healthcare professionals and lay users," but does not provide specific numbers for participants or conducted tests.
    • Data Provenance: Not explicitly stated. The document does not specify the country of origin of the data or whether the studies were retrospective or prospective. Given the submitter's address in Taiwan, it's possible that at least some studies were conducted there, but this is not confirmed.

    3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of Those Experts

    • This information is not provided in the 510(k) summary. For blood glucose monitoring systems, ground truth is typically established using a highly accurate reference method (e.g., a laboratory analyzer), rather than expert consensus on images or interpretations.

    4. Adjudication Method for the Test Set

    • This information is not applicable/provided. Adjudication methods (like 2+1, 3+1) are typically used in studies involving expert review of medical images or records to establish a consensus ground truth. For a blood glucose meter, ground truth is established by a reference laboratory method, not expert adjudication in this manner.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done, and Effect Size

    • No. An MRMC comparative effectiveness study was not done. This type of study typically applies to diagnostic imaging devices where human readers interpret results, and the AI's impact on their performance is measured. For a blood glucose meter, the performance is standalone, measuring the device's accuracy against a reference standard.

    6. If a Standalone (Algorithm Only Without Human-in-the-Loop Performance) Was Done

    • Yes, a standalone performance study was done. The performance studies described in the summary ("in the laboratory and in clinical settings") relate to the device's ability to accurately measure blood glucose levels by itself. The results are compared directly to a reference method (though the reference method isn't specified in this summary). This is the primary mode of evaluation for a blood glucose monitoring system.

    7. The Type of Ground Truth Used

    • While not explicitly stated in detail, the ground truth for blood glucose monitoring systems is invariably established by a highly accurate laboratory reference method (e.g., YSI analyzer, hexokinase method). This is the standard practice for evaluating the accuracy of blood glucose meters. It is not expert consensus, pathology, or outcomes data in this context.

    8. The Sample Size for the Training Set

    • This information is not provided. The 510(k) summary focuses on the performance studies (testing data). Details about the training set size for the device's internal algorithms (e.g., for calibration) are not typically included in these summaries unless they are part of a novel machine learning component that requires extensive training data.

    9. How the Ground Truth for the Training Set Was Established

    • This information is not provided. Similar to question 8, the details of how any internal algorithms were trained or calibrated, and how their ground truth was established, are not included in this high-level 510(k) summary. It's likely that if a reference method was used for validation (testing), a similar or identical method would have been used for calibration/training.
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