Cardiovascular Diseases, Valvular Heart Disease
Conditions
Brief summary
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
Interventions
DIAGNOSTIC_TESTAI augmented POCUS examination
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.
Sponsors
Sheba Medical Center
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
Inclusion criteria
1. Clinically indicated POCUS cardiac assessment as determined by the treating physicians for an accepted clinical indication 2. Willing and able to provide consent for a short partial transthoracic POCCUS examinations 3. No urgent or other compelling need for a comprehensive echo exam by the echo lab.
Exclusion criteria
1. Unstable clinical condition that does not permit any reasonable delay necessary to obtain consent and perform the POCCUS 2. Severe thoracic deformation or thoracic wall infection or wound that does not permit an adequate echocardiographic examination 3. Very poor or non-diagnostic echocardiographic imaging quality on prior echocardiography examinations. 4. Patients after lung resection 5. Patients unable lie in bed and undergo a standard echo study 6. Participation in an interventional study
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Degree of agreement | 30 days | Agreement between the internists AI-aided interpretation and the interpretation by expert cardiologist |
| Clinical significant findings detected by the internist utilizing AI-aided POCUS | 30 days | — |
Secondary
| Measure | Time frame |
|---|---|
| Percent of POCUS images of good quality | 30 days |
| Loops that AI interpreted | 30 days |
Countries
Israel
Contacts
Primary ContactRobert Klempfner, MD
Outcome results
None listed