Assessment of Diagnostic Adequacy of AI-assisted Point-of-Care Echocardiography Among Anesthesiology Trainees
NCT06548373 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 16
Last updated 2026-01-30
Summary
This pilot study serves to assess the diagnostic adequacy of Artificial Intelligence (AI)-guided point-of-care. Focused echocardiography examinations will be obtained by Anesthesiology trainees and assessed by an expert Cardiologist Echocardiographer. AI-guided echocardiography examinations will be compared to each other. AI-guided and non-AI-guided echocardiography examinations will also be compared.
Conditions
- Anesthesia
Interventions
- DIAGNOSTIC_TEST
-
Artificial Intelligence-assisted Point-of-Care Echocardiography
A wireless, AI-guided handheld ultrasound probe will be used on adult male patients who present with a clinical indication for peri-anesthesia point-of-care echocardiography examination. Residents will document personal interpretation of the completed point-of-care ultrasound (POCUS) examination, important clinical findings, and assessment of whether obtaining a formal echocardiogram is warranted on an exam assessment form. The residents will complete 11 examinations with 10 specific scans each. The first 10 examinations will be AI-guided, and the final 11th examination will be done via a standard (non-AI guided) ultrasound system to gauge the resident's growth in point-of-care echocardiography skill.
Sponsors & Collaborators
-
Loma Linda University
lead OTHER
Principal Investigators
-
Richard L Applegate, MD · Loma Linda University
Eligibility
- Min Age
- 18 Years
- Max Age
- 65 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2024-08-13
- Primary Completion
- 2026-04-28
- Completion
- 2026-12-31
Countries
- United States
Study Locations
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