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The device is intended for use by a qualified physician for ultrasound evaluation of Small Parts, Abdominal, Cardiac, Peripheral Vascular, Fetal, Intra-operative, Trans-vaginal , Trans-rectal, Gynecological, Musculo-sketal and Neonatal Cephalic applications. The device is not indicated for Ophthalmic applications.

The Prosound F75 Diagnostic Ultrasound System is a full feature imaging and analysis system. It consist of a mobile console that provides acquisition, processing and display capability. The user interface includes a computer type keyboard, specialized controls and a display.

The provided document is a 510(k) summary for the Aloka Prosound F75 Diagnostic Ultrasound System. This document focuses on demonstrating substantial equivalence to a predicate device, rather than proving performance against specific acceptance criteria through a clinical study for a novel device. Therefore, many of the requested categories for acceptance criteria and clinical study details are not applicable in this context.

Here's a breakdown based on the information provided:

1. Table of Acceptance Criteria and Reported Device Performance

For a traditional medical device like an ultrasound system undergoing 510(k) clearance, the "acceptance criteria" are generally established through engineering and performance testing against recognized standards to demonstrate that the device performs as intended and is safe and effective. The "reported device performance" is then the outcome of these non-clinical tests. The key acceptance criterion for a 510(k) is substantial equivalence to a predicate device.

• Acoustic output
• Biocompatibility
• Cleaning & disinfection effectiveness
• Electromagnetic compatibility
• Electrical and mechanical safety.
  They were found to conform with applicable medical device safety standards. |
  | Quality System Compliance | The design, development, and quality process conforms with 21 CFR 820, ISO 9001:2000, and ISO 13485 quality systems. |
  | Intended Use Alignment with Traditional Clinical Practices | Intended uses and other key features are consistent with traditional clinical practices and FDA guidelines. |

Study Details:

For this 510(k) submission, the primary "study" is the demonstration of substantial equivalence through non-clinical testing and comparison to a legally marketed predicate device.

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 applicable for this type of submission. This 510(k) does not involve a clinical test set in the way a novel AI device might. The review is based on internal technical evaluations, compliance with standards, and comparison to a predicate device.
• Data Provenance: Not applicable. The "data" are primarily technical specifications, test reports for acoustic output, biocompatibility, etc., and a comparison matrix to the predicate device. These are internal company documents and safety standard compliance reports.

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)

• Number of Experts & Qualifications: Not applicable. Ground truth, in the context of clinical studies with expert consensus, is not part of this 510(k) pathway for an ultrasound system. The "ground truth" here is adherence to engineering specifications and safety standards, and functional equivalence to the predicate device.

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

• Adjudication Method: Not applicable. This concept pertains to resolving discrepancies in expert labeling or diagnoses in clinical studies, which were not conducted for this submission.

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

• MRMC Comparative Effectiveness Study: No. This device is a diagnostic ultrasound system, not an AI-powered image analysis tool designed to assist human readers, or a novel therapy. Therefore, an MRMC study is not relevant to its clearance.

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

• Standalone Performance Study: No. This device is an imaging system operated by a human physician, not an algorithm, and the concept of "standalone performance" for an algorithm is not applicable.

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

• Type of Ground Truth: The "ground truth" in this context is the established safety and effectiveness of the predicate device (Aloka Alpha 10), and the objective measurements demonstrating that the new device meets recognized safety and performance standards (e.g., acoustic output limits, electrical safety, biocompatibility, cleaning efficacy).

8. The sample size for the training set

• Sample Size for Training Set: Not applicable. This is not an AI/machine learning device that requires a training set.

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

• Ground Truth for Training Set Establishment: Not applicable. As this is not an AI/machine learning device, there is no training set or associated ground truth for it.

In summary: The Aloka Prosound F75 Diagnostic Ultrasound System obtained 510(k) clearance by demonstrating substantial equivalence to a predicate device (Aloka Alpha 10) through technical comparisons and compliance with recognized safety and performance standards. It did not involve clinical trials, expert consensus studies, or AI algorithm performance evaluations as typically seen for novel software or AI/ML devices.

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The device is intended for use by a qualified physician for ultrasound evaluation of the Small Parts, Abdominal, Cardiac, Peripheral Vascular, Fetal, Intra-operative, Transvaginal , Trans-rectal, Gynecological and Neonatal Cephalic applications. The device is not indicated for Ophthalmic applications.

Diagnostic ultrasound imaging or fluid flow analysis of the human body as follows:
Clinical Application: Transrectal, Transvaginal, Fetal, Abdominal, Gynecological, Cardiac, Peripheral Vascular, Small Organ, Intra-operative, Neonatal Cephalic.

The Prosound Alpha 6 Diagnostic Ultrasound System is a full feature imaging and analysis system. It consist of a mobile console that provides acquisition, processing and display capability. The user interface includes a computer type keyboard, specialized controls and a display.

This is a 510(k) premarket notification for the Aloka Prosound Alpha 6 Diagnostic Ultrasound System. It is focused on demonstrating substantial equivalence to a predicate device (Aloka SSD-4000 K040719), rather than establishing new performance criteria or efficacy through clinical trials. As such, the document does not contain the typical details of a study designed to prove a device meets specific acceptance criteria in the way an AI/CADe device approval would.

Here's an breakdown based on the provided text, highlighting the absence of information typically requested for AI/CADe approvals:

1. Table of Acceptance Criteria and Reported Device Performance

This document does not define specific performance metrics or acceptance criteria for the Aloka Prosound Alpha 6 in terms of diagnostic accuracy (e.g., sensitivity, specificity, AUC) that would typically be expected for a device proving novel diagnostic capabilities. Instead, the "acceptance criteria" are implied to be technical comparability and conformance to safety standards, and the "performance" is stated as being "substantially equivalent" to the predicate device.

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

The document explicitly states "None Required" for clinical tests for the purpose of demonstrating substantial equivalence. Therefore, there is no test set, sample size, or data provenance relevant to proving diagnostic performance against predefined acceptance criteria. Clinical practices, FDA guidelines, and established patient examination methods are cited as sufficient to confirm intended uses and features.

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

Since no clinical test set was used to assess diagnostic performance of the new device itself, there were no experts used to establish ground truth in this context. The "ground truth" for the substantial equivalence claim relies on the established safety and effectiveness of the predicate device and the general understanding of diagnostic ultrasound.

4. Adjudication Method for the Test Set

As there was no clinical test set, there was no adjudication method employed.

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

No, a Multi-Reader Multi-Case (MRMC) comparative effectiveness study was not conducted or described in this document. This submission focuses on substantial equivalence based on technical specifications and established safety, not on improving human reader performance with or without AI assistance.

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

The Aloka Prosound Alpha 6 is a diagnostic ultrasound system, not an AI or algorithm-only device. Therefore, a standalone algorithm performance study was not applicable and not conducted. It's a medical imaging hardware and software system used by humans.

7. The Type of Ground Truth Used

The concept of "ground truth" as it applies to diagnostic accuracy for a new device's performance is not directly addressed. Instead, the ground truth for this 510(k) submission is the established safety and effectiveness record of the predicate device (Aloka SSD-4000) and general diagnostic ultrasound technology. The "truth" is that its technical characteristics and intended uses align with a device already cleared by the FDA, implying similar safety and effectiveness.

8. The Sample Size for the Training Set

The Aloka Prosound Alpha 6 is a traditional ultrasound system, not an AI/ML device that requires a training set in the computational sense. Therefore, there is no training set mentioned or applicable.

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

As there is no training set for an AI/ML algorithm, this question is not applicable.

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