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AI vs. doctor: who diagnoses better?

NCT ID NCT07408167

Knowledge-focused Sponsor: Nanfang Hospital, Southern Medical University 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 This study
Registered, but not yet taking participants.
By invitation only
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Jun 27, 2026

Summary

This study will see if using an AI model helps pathologists (doctors who diagnose diseases from tissue samples) work better. Over 2000 patients will have their cases reviewed by pathologists, some using AI assistance and some not. The goal is to compare accuracy, speed, and confidence in diagnoses.

What this could mean

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

Active substance
AI model
What this could lead to
If successful, this could show that AI helps pathologists diagnose diseases faster and more accurately, especially for less experienced doctors.
What could go wrong
This is an early-stage study testing AI assistance in a controlled setting. Real-world results may differ, and AI might not improve accuracy for all pathologists.

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 2,060 people

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

Expected to start

Mar 2026

An estimate. Start dates often move.

Expected to finish

Dec 2029

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 to 100 years

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.

Pathologists: Inclusion Criteria: 1. Voluntarily provide written informed consent. 2. Age ≥ 20 years. 3. Have completed at least 1 year of training in pathological diagnosis. Exclusion Criteria: 1. Individuals with reading difficulties or a reading disorder. 2. Unwilling to participate in this study. Patients: Inclusion Criteria: 1. Voluntarily provide written informed consent. 2. Age ≥ 18 years. 3. Have available digital pathology images and relevant clinical information. Exclusion Criteria: 1. Missing data or data quality not meeting the requirements for analysis. 2. Deemed unsuitable for participation by the investigator. 3. Unwilling to participate in this study.

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As listed by the trial registrant

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

Pathology foundation model

How to take part

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

  1. The places running it

    3 sites. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    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

  • Nanfang Hospital, Southern Medical University

    Guangzhou, Guangdong, China 510515, China

  • The First Affiliated Hospital of Zhengzhou University

    Zhengzhou, Henan, China

  • The First Hospital Affiliated to AMU SOUTHWEST HOSPITAL

    Chongqing, Chongqing Municipality, China

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