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
Study Type
OBSERVATIONAL
Enrollment
300
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.
Sheba Medical Center
Ramat Gan, Israel
RECRUITINGDegree of agreement
Agreement between the internists AI-aided interpretation and the interpretation by expert cardiologist
Time frame: 30 days
Clinical significant findings detected by the internist utilizing AI-aided POCUS
Time frame: 30 days
Percent of POCUS images of good quality
Time frame: 30 days
Loops that AI interpreted
Time frame: 30 days
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