AI teaches doctors to see inside the body

NCT ID NCT05900440

ENROLLING_BY_INVITATION Knowledge-focused Sponsor: Stanford University Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

Stanford University is testing whether artificial intelligence can help medical interns learn to use ultrasound more effectively. In this study, 150 internal medicine residents will be randomly assigned to use a handheld ultrasound device with or without AI assistance. Researchers will measure how quickly they can capture heart images and how well they interpret them. The goal is to find better ways to train doctors in point-of-care ultrasound.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: handheld ultrasound device with artificial intelligence
What this could lead to: If it works, this could show that AI helps doctors-in-training learn ultrasound skills more quickly and accurately.
What could go wrong: This is a small, early-stage study focused on learning, not patient outcomes. The AI may not improve skills significantly, and results may not apply to other settings.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for EDUCATION, MEDICAL are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

EDUCATION, MEDICAL ULTRASOUND IMAGING

Contacts and locations

Locations

Stanford University School of Medicine

Stanford, California, 95403, United States

More trials for these conditions

Other studies related to the condition(s) this trial covers.