Can a smarter AI display help doctors make better diagnoses?
NCT ID NCT07457840
First seen Jun 25, 2026 · Last updated Jul 15, 2026 · Updated 3 times
Summary
This study tests whether showing AI predictions as a shift from a doctor's own initial guess (Bayesian update) improves diagnostic accuracy compared to showing raw AI probabilities. About 100 healthcare professionals will review 8 simulated patient cases involving chest pain or shortness of breath. The goal is to see if this approach helps doctors make more accurate diagnoses and trust the AI more, even when the AI is misleading.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Bayesian-updated post-test probability display
- What this could lead to
- If successful, this could improve how doctors use AI tools to make more accurate diagnoses.
- What could go wrong
- This is a small, early-stage study using simulated cases, not real patients. Results may not translate to actual clinical settings.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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ZSFG
San Francisco, California, 94110, United States