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510(k) Data Aggregation
(117 days)
EchoConfidence (USA)
EchoConfidence is Software as a Medical Device (SaMD) that displays images from a Transthoracic Echocardiogram, and assists the user in reviewing the images, making measurements and writing a report.
The intended medical indication is for patients requiring review or analysis of their echocardiographic images acquired for their cardiac anatomy, structure and function. This includes automatic view classification; segmentation of cardiac structures including the left and right ventricle, chamber walls, left and right atria and great vessels; measures of cardiac function; and Doppler assessments.
The intended patient population is both healthy individuals and patients in whom an underlying cardiac disease is known or suspected; the intended patient age range is for adults (>= 22 years old) and adolescent in the age range 18 – 21 years old.
EchoConfidence is Software as a Medical Device (SaMD) that displays images from a Transthoracic Echocardiogram, and assists the user in reviewing the images, making measurements and writing a report.
Here's an analysis of the provided FDA 510(k) clearance letter for EchoConfidence (USA), incorporating all the requested information:
Acceptance Criteria and Device Performance Study for EchoConfidence (USA)
The EchoConfidence (USA) device, a Software as a Medical Device (SaMD) for reviewing, measuring, and reporting on Transthoracic Echocardiogram images, underwent a clinical evaluation to demonstrate its performance against predefined acceptance criteria.
1. Acceptance Criteria and Reported Device Performance
The primary acceptance criteria for EchoConfidence were based on the "mean absolute error" (MAE) of the AI's measurements compared to three human experts. The reported performance details indicate that the device met these criteria.
Acceptance Criteria Category | Acceptance Criteria | Reported Device Performance |
---|---|---|
Primary Criteria (AI vs. Human Expert MAE) | The upper 95% confidence interval of the difference between the MAE of the AI (against 3 human experts) and the MAE of the 3 human experts (against each other) must be less than +25%. | In the majority of cases, the point estimate (of the difference between AI MAE and human expert MAE) was substantially below 0% (indicating the AI agrees with humans more than they agree with each other). The reporting consistently showed that the upper 95% confidence interval was |
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