Den här översättningen är inte klar ännu. Den här sidan är just nu på engelska.

Gå till den engelska sidan

Cure My Disease

Don't miss your cure!

 Log in / Sign up

Can a smarter AI display help doctors make better diagnoses?

NCT ID NCT07457840

Knowledge-focused Sponsor: University of California, San Francisco Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only This study
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

Study facts

What this study's own registry entry says, in plain language.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 100 people

The number the study aims to enrol. It can still change while the study runs.

Started

Feb 2026

Expected to finish

Dec 2026

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Must hold one of the following clinical roles: Nurse Practitioner (NP), Physician Assistant/Physician Associate (PA), Resident Physician, Physician Fellow, or Attending Physician * Able to complete the survey in English * Access to a computer or tablet (mobile phones are not recommended due to the visual nature of the survey) Exclusion Criteria: * Does not hold an eligible clinical role as defined above * Completes fewer than 2 of 8 clinical vignettes (less than 25% of the survey) * Has previously participated in this study * Unable to complete the survey in English

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for Diagnostic decision making are added.

Vår säkerhetsrekommendation!

Genom att skicka in godkänner du våra Användarvillkor

As listed by the trial registrant

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

Diagnostic decision making

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    The full official record for this study. This one lists no contact details, but it is the first place any would appear.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • ZSFG

    San Francisco, California, 94110, United States