Artificial Intelligence for Learning Point-of-Care Ultrasound

Not Applicable

• Conditions: Education, Medical; Ultrasound Imaging

• Registration Number: NCT05900440
• Lead Sponsor: Stanford University

Brief Summary

Point-of care-ultrasonography has the potential to transform healthcare delivery through its diagnostic and therapeutic utility. Its use has become more widespread across a variety of clinical settings as more investigations have demonstrated its impact on patient care. This includes the use of point-of-care ultrasound by trainees, who are now utilizing this technology as part of their diagnostic assessments of patients. However, there are few studies that examine how efficiently trainees can learn point-of-care ultrasound and which training methods are more effective. The primary objective of this study is to assess whether artificial intelligence systems improve internal medicine interns' knowledge and image interpretation skills with point-of-care ultrasound. Participants shall be randomized to receive personal access to handheld ultrasound devices to be used for learning with artificial intelligence vs devices with no artificial intelligence. The primary outcome will assess their interpretive ability with ultrasound images/videos. Secondary outcomes will include rates of device usage and performance on quizzes.

Detailed Description

Not available

Study Timeline

• Study Start: 2021-06-01
• Study First Submitted: 2023-05-31
• Study First Submitted QC: 2023-06-09
• Study First Posted: 2023-06-12
• Status Verified: 2025-04
• Last Update Submitted: 2025-04-08
• Last Update Posted: 2025-04-11
• Primary Completion: 2025-05-30
• Study Completion: 2026-06-30

Recruitment & Eligibility

• Status: ENROLLING_BY_INVITATION
• Sex: All
• Target Recruitment: 150

Inclusion Criteria

• Internal medicine residents rotating on the general inpatient wards service.

Exclusion Criteria

• Residents who had taken an ultrasound elective offered by our residency program

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Primary Outcome Measures

Name	Time	Method
Time to acquire cardiac ultrasound images	During procedure (300 seconds)	This will be measured as the time to acquire a cardiac ultrasound image on a standardized patient, measured in seconds.

Secondary Outcome Measures

Name	Time	Method
Assessment of the quality of captured images	During procedure (300 seconds)	Participants will acquire cardiac ultrasound images on a standardized patient. Two reviewers will review the images and provide a numerical assessment of image quality based on the Rapid Assessment for Competency in Echocardiography (RACE) Scale. This is a 0-20 point scale, with higher scores denoting higher image quality (e.g. a better quality image).

Trial Locations

Locations (1)

Stanford University School of Medicine; 🇺🇸 Stanford, California, United States