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The study aim is to test the diagnostic performance of internists interpreting echo images aided by the AISAP CARDIO V0.7 diagnostic support system. Ground truth will be established by an interpretation by cardiologists specialized in echo, of the same POCUS images (acquired by the internist \ sonographer ).
Up to 1000 subjects; Study population will be distributed according to the following schema:
Group 1 -up to 800 patients hospitalized in the Internal Medicine division Group 2 - up to 200 patients hospitalized in the acute Geriatric division
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Hospitalized patients with an indication for POCUS examination | Patient with an accepted indication for point of care echo study that are clinical stable. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| AI augmented POCUS examination | Diagnostic Test | Internists will perform POCUS studies as they consider appropriate for patient management. Interpretation of the POCUS exams will be aided by machine learning based analysis of the videos. |
| Measure | Description | Time Frame |
|---|---|---|
| Degree of agreement | Agreement between the internists AI-aided interpretation and the interpretation by expert cardiologist | 30 days |
| Clinical significant findings detected by the internist utilizing AI-aided POCUS | 30 days |
| Measure | Description | Time Frame |
|---|---|---|
| Percent of POCUS images of good quality | 30 days | |
| Loops that AI interpreted | 30 days |
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Inclusion Criteria:
Exclusion Criteria:
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Hospitalized patients in the internal medicine or geriatrics department that have an accepted indication for a POCUS study
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Robert Klempfner, MD | Contact | 97235302362 | robert.klempfner@sheba.health.gov.il |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Sheba Medical Center | Recruiting | Ramat Gan | Israel |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 42094314 | Derived | Fisher L, Fiman M, Yarkoni Y, Segal E, Fishman B, Faierstein K, Rubin N, Am-Shalom A, Amital H, Zhao Q, Kort S, Mehrotra P, Schwammenthal E, Klempfner R, Zimlichman E, Raanani E, Maor E. Artificial Intelligence-Enhanced Cardiac Point-of-Care Ultrasound: A Prospective Single-Arm Study. Mayo Clin Proc Digit Health. 2026 Mar 30;4(2):100355. doi: 10.1016/j.mcpdig.2026.100355. eCollection 2026 Jun. | |
| 41602208 |
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| ID | Term |
|---|---|
| D002318 | Cardiovascular Diseases |
| D006349 | Heart Valve Diseases |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
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| Derived |
| Fisher L, Fiman M, Segal E, Lidar S, Rubin N, Am-Shalom A, Cohen I, Faierstein K, Tsur AM, Schwammenthal E, Klempfner R, Zimlichman E, Raanani E, Maor E. Artificial intelligence assessment of valvular disease and ventricular function by a single echocardiography view. Front Digit Health. 2026 Jan 12;7:1684933. doi: 10.3389/fdgth.2025.1684933. eCollection 2025. |
| 38740271 | Derived | Faierstein K, Fiman M, Loutati R, Rubin N, Manor U, Am-Shalom A, Cohen-Shelly M, Blank N, Lotan D, Zhao Q, Schwammenthal E, Klempfner R, Zimlichman E, Raanani E, Maor E. Artificial Intelligence Assessment of Biological Age From Transthoracic Echocardiography: Discrepancies with Chronologic Age Predict Significant Excess Mortality. J Am Soc Echocardiogr. 2024 Aug;37(8):725-735. doi: 10.1016/j.echo.2024.04.017. Epub 2024 May 11. |