NCT05900440
Artificial Intelligence for Learning Point-of-Care Ultrasound
Enrolling by Invitation
NAAll AgesInterventionalStanford UniversityInvestigator-initiated
~150 participants
Updated 2026-04-29 on ClinicalTrials.gov
What's tested:Ultrasound with Artificial Inteligence EngabledUltrasound without Artificial Intelligence Enabled
At a glance
Recruiting sites
0 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Time to acquire cardiac ultrasound images
Measured over During procedure (300 seconds)
Conditions
Where it's being run
1 sites across 1 statesCalifornia1
Study leadership
- Andre D Kumar, MD · PRINCIPAL_INVESTIGATOR · Stanford University
Who to contact
This trial hasn't published a contact. View it on ClinicalTrials.gov
Do you actually qualify for this trial?
Add a private profile and we'll compare every criterion below against your situation — and tell you which ones are met, uncertain, or excluding.
Eligibility criteria
Inclusion
Internal medicine residents rotating on the general inpatient wards service.
Exclusion
Residents who had taken an ultrasound elective offered by our residency program
What this trial measures
- Time to acquire cardiac ultrasound imagesDuring procedure (300 seconds)
This will be measured as the time to acquire a cardiac ultrasound image on a standardized patient, measured in seconds.