Reliability of Artificial Intelligence (AI)-Augmented Point-of-care Cardiac Ultrasound in the Hands of Internists

NCT05455541 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 300

Last updated 2024-01-03

No results posted yet for this study

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

Conditions

Interventions

DIAGNOSTIC_TEST

AI 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 & Collaborators

  • Sheba Medical Center

    lead OTHER_GOV

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-08-21
Primary Completion
2023-12-31
Completion
2023-12-31
FDA Device
Yes

Countries

  • Israel

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05455541 on ClinicalTrials.gov