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510(k) Data Aggregation

    K Number
    K213897
    Device Name
    Pro M Class
    Date Cleared
    2022-09-19

    (279 days)

    Product Code
    Regulation Number
    872.4200
    Panel
    Dental
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The PRO M CLASS is used by dental professionals for orthodontic procedures using a root canal instrument and tightening and loosening an abutment screw to fix and remove the abutment on a dental implant in prosthodontic treatment.

    Device Description

    The PRO M CLASS is an AC-powered device that includes a 'Motor Handpiece', 'Contra angle Handpiece', 'Charger unit' and 'AC/DC Adaptor' for grinding, cutting, polishing and screw driver work in dental oral use. The PRO M CLASS uses the battery inside the motor handpiece as a power source to rotate the micromotor to transmit the generated rotational power to the contra angle. Dental treatment is performed using the rotational power obtained by this. The motor turned by the power converted into DC 5.0V by controller delivers its turning power to the file through spin to perform punching, cutting and removing functions. The hand-piece can be operated, stopped and set/adjusted on/in its speed, torque and turning direction by handling of the controller.

    AI/ML Overview

    This document is a 510(k) K213897 clearance letter for the Saeyang Microtech Co., Ltd. PRO M CLASS dental handpiece. It asserts substantial equivalence to a predicate device and reference devices but does not contain information about acceptance criteria or a study proving that the device meets acceptance criteria. The document focuses on regulatory compliance and comparison to previously cleared devices. Therefore, the requested information cannot be extracted from the provided text.

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    K Number
    K123582
    Device Name
    ENDO A CLASS
    Date Cleared
    2013-08-16

    (269 days)

    Product Code
    Regulation Number
    872.4200
    Panel
    Dental
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    This application area extends to endodontic procedures using a root canal instrument which is intended by the manufacturer for use in the mechanical and rotary preparation of root canals.

    Device Description

    The motor turned by the power converted into DC2.4V by controller delivers its turning power to the file through spin to perform punching, cutting and removing functions. The hand-piece can be operated, stopped and set/adjusted on/in its speed, torque and turning direction by handling of the controller.

    AI/ML Overview

    The provided text describes Saeyang Microtech's ENDO a class device, a cordless endodontic handpiece. The 510(k) summary (K123582) details its intended use, substantial equivalence to predicate devices, and the non-clinical tests performed.

    Here's an analysis of the acceptance criteria and the study that proves the device meets them:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document does not explicitly present a table of "acceptance criteria" in the way one might expect for a diagnostic or AI device (e.g., sensitivity, specificity thresholds). Instead, the performance is demonstrated through compliance with established international standards and a comparison of technical specifications with predicate devices to establish substantial equivalence.

    Based on the provided information, the acceptance criteria relate to compliance with regulatory standards and functional equivalence to predicate devices.

    Acceptance CriterionReported Device Performance
    Regulatory Compliance & Safety
    IEC 60601-1: 1988 +A1 1991,+A2 1995 (Medical electrical equipment)Complied
    ANSI/AAMI/IEC 60601-1-2: 2007 (Electromagnetic compatibility)Complied
    ISO3964:1982Complied
    ISO7494-1:2004Complied
    ISO7785-2:1995Complied
    ISO11498:1997Complied
    Sterilization ValidationComplied
    Software ValidationComplied
    Speed Accuracy TestingComplied
    Temperature Rise TestingComplied
    General Safety HazardsNone demonstrated that violated requirements or resulted in hazards.
    Functional Equivalence to Predicate Devices
    Intended UseSubstantially equivalent to predicate devices (Endodontic procedures using a root canal instrument for mechanical and rotary preparation).
    OperationSubstantially equivalent to predicate devices.
    Speed Adjustment Range140-500 rpm (Predicate devices: 125-625 rpm, 280 rpm, 300 rpm) - Comparable range
    Torque Adjustment Range0.1-4.0 Ncm (Predicate devices: 1.0-5.0 Ncm, Low/High mode, 0.5-4.0 Ncm) - Comparable range
    Gear Ratio Selection4:1, 10:1, 16:1, 20:1 (Predicate devices: 17:1, 32:1, 16:1) - Offers more options or overlaps with predicates
    Forward/Auto Reverse DriveYES (Matches predicate devices)
    Reciprocation DriveYES (Matches predicate devices)
    User-defined Presets (Speed/Torque)YES (Matches predicate devices)
    Auto Power OffYES (Matches predicate devices)
    Product MaterialComparable to predicate devices (ABS, silicon, SUS)
    Principle of OperationSubstantially equivalent to predicate devices (motorized handpiece for punching, cutting, removing functions in root canals).
    Rechargeable BatteryNi_Mh 1.2V2 (Comparable to predicate Li_ion 3.7V, Ni_Mh 1.2V3)
    Motor VoltageDC2.4V (Comparable to predicate DC3.6V, DC3.6V, DC2V)
    Physical Dimensions & WeightComparable to predicate devices.

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

    The document describes non-clinical bench tests performed to ensure compliance with relevant ISO and IEC standards. These tests typically do not involve "test sets" in the sense of patient data. Instead, they involve testing of physical devices or components against specified technical requirements and protocols.

    • Sample Size: Not explicitly stated as a number of devices, but the testing would have been conducted on a representative sample of the ENDO a class device.
    • Data Provenance: The tests were conducted internally by Saeyang Microtech in Korea, with results being "Complied" for each standard. Given the nature of bench testing for regulatory submission, this would be considered prospective testing for the purpose of demonstrating compliance.

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

    This question is not applicable to this submission. The device is a direct drive, AC-powered handpiece for endodontic procedures, not an AI or diagnostic imaging device that requires expert-established ground truth from clinical data. The "ground truth" here is the adherence to engineering and safety standards.

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

    This question is not applicable. Adjudication methods like 2+1 or 3+1 are typically used in clinical studies for diagnostic accuracy involving multiple human readers, which is not relevant for this device. The non-clinical tests involved verifying physical and functional specifications against established standards.

    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, an MRMC comparative effectiveness study was not done. This type of study is relevant for AI-assisted diagnostic tools, not for a dental handpiece. The device is a mechanical tool, and the submission explicitly states: "No clinical testing was conducted."

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

    This question is not applicable. The ENDO a class is a physical device, a dental handpiece, not an algorithm or AI system.

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

    The "ground truth" in this context refers to compliance with established international standards (ISO, IEC) for medical devices, specifically dental handpieces, and the functional specifications of the device meeting pre-defined thresholds or being comparable to predicate devices. It is based on engineering and performance testing protocols.

    8. The sample size for the training set

    This question is not applicable. There is no "training set" as this is not an AI or machine learning device.

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

    This question is not applicable. There is no "training set."

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    K Number
    K123608
    Device Name
    ENDO E CLASS
    Date Cleared
    2013-08-16

    (268 days)

    Product Code
    Regulation Number
    872.4200
    Panel
    Dental
    Reference & Predicate Devices
    Predicate For
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    For use in a wide range of dental procedures including; endodontic surgeries, such as drilling in to the tooth canal, and general dentistry, such as removing carious material from the dentin.

    Device Description

    The motor turned by the power converted into DC24V by controller delivers its turning power to the bur through spin to perform punching, cutting and removing functions. The hand-piece can be operated, stopped and set/adjusted on/in its speed, torque and turning direction by handling of the controller.

    AI/ML Overview

    The provided text describes a 510(k) summary for the Saeyang Microtech ENDO e class device, which is a dental handpiece and accessories. The document focuses on demonstrating substantial equivalence to predicate devices rather than proving performance against specific acceptance criteria through a clinical study.

    Here's a breakdown based on your requested information:

    1. Table of Acceptance Criteria and Reported Device Performance

    The submission does not define specific acceptance criteria in terms of performance metrics (e.g., accuracy, sensitivity, specificity) that a clinical study would typically assess. Instead, the "acceptance criteria" for this 510(k) revolve around compliance with established safety and performance standards for dental devices and demonstrating substantial equivalence to legally marketed predicate devices.

    The "reported device performance" is essentially a description of the device's features and its compliance with relevant standards.

    Acceptance Criterion (Implicit in 510(k))Reported Device Performance
    Compliance with IEC 60601-1: 1988 +A1 1991,+A2 1995 (Medical Electrical Equipment)Complied
    Compliance with ANSI/AAMI/IEC 60601-1-2: 2007 (Electromagnetic Compatibility)Complied
    Compliance with ISO 3964:1982 (Dental Handpieces - Connections)Complied
    Compliance with ISO 7494-1:2004 (Dental Units - Part 1: General Requirements)Complied
    Compliance with ISO 7785-2:1995 (Dental Handpieces - Part 2: Dental Low-Speed Handpieces)Complied
    Compliance with ISO 11498:1997 (Dentistry - Torque measurement for endodontic handpieces)Complied
    Sterilization Validation PassedValidation performed and passed. None of the testing demonstrated any design characteristics that violated the requirements of the standards or resulted in any safety hazards.
    Software Validation PassedValidation performed and passed. None of the testing demonstrated any design characteristics that violated the requirements of the standards or resulted in any safety hazards.
    Speed Accuracy Testing PassedTesting performed and passed. None of the testing demonstrated any design characteristics that violated the requirements of the standards or resulted in any safety hazards.
    Temperature Rise Testing PassedTesting performed and passed. None of the testing demonstrated any design characteristics that violated the requirements of the standards or resulted in any safety hazards.
    Substantial Equivalence to Predicate DevicesThe ENDO e class has similar characteristics and intended use as previously cleared devices (AEU-26L, TCM Endo V, ATR TECNIKA). The subject device is substantially equivalent to the predicate devices in intended use, operation, safety and function across key features like motor speed, torque setting, reciprocating drive, foot pedal control, and programmable presets.

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

    The document explicitly states: "No clinical testing was conducted." Therefore, there is no test set in the sense of patient data. The "tests" were non-clinical bench tests and compliance with standards. The data provenance would be from manufacturing and engineering tests conducted by Saeyang Microtech in Korea.

    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, as no clinical testing with patient data or expert-adjudicated ground truth was performed or required for this type of 510(k) submission.

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

    Not applicable, as no test set requiring ground truth adjudication from experts was used.

    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 dental handpiece (a physical tool), not an AI-powered diagnostic or assistive software. Therefore, an MRMC study or AI-related effectiveness metrics are not relevant.

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

    Not applicable. This is a physical medical device, not an algorithm.

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

    For the non-clinical tests, the "ground truth" was derived from the specifications and requirements of the international and national standards (e.g., IEC 60601-1, ISO 3964) and the performance characteristics of the predicate devices for comparison. For example, for speed accuracy testing, the ground truth would be the expected or specified speed, and the device's measured speed would be compared against that.

    8. The sample size for the training set

    Not applicable, as this is a physical device and not an AI/ML model that requires a training set.

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

    Not applicable.

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