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AI takes on radiologists: 30,000-Patient trial to see who reads brain scans better

NCT ID NCT07167043

Diagnosis Sponsor: Yaou Liu 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 26, 2026 · Last updated Jun 26, 2026

Summary

This study compares how well AI and radiologists diagnose brain diseases using CT and MRI scans. Over 30,000 patients will be included, and the AI has been trained on more than 100,000 previous scans. The goal is to see if AI can match human experts and whether combining AI with radiologists improves accuracy and speed.

What this could mean

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

Active substance
AI-assisted diagnostic system
What this could lead to
If successful, this could show that AI is a reliable tool to help radiologists diagnose brain diseases more accurately and efficiently.
What could go wrong
This is a validation study, not a treatment trial. AI may not perform as well in real-world settings, and results may not apply to all hospitals or patient groups.

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.

Participants

About 30,000 people

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

Started

May 2025

Expected to finish

Dec 2030

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.

Who is studied

All patient exams are of men suspected of harboring brain tumors or the other neurological diseases, with or without neurological symptoms, and without a history of prior brain surgery. Patients underwent brain CT and MRI, and were primarily examined at Beijing Tiantan hospital, between 2012-2026.

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

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: * For MRI: patients suspected of harboring brain tumors or detected with brain occupancy at initiating or other institution, who subsequently underwent brain MRI. * For CT: patients with or without neurological symptoms, suspected of harboring ischemic, hemorrhagic, space-occupiing, degenerative brain disease, or traumatic brain injury, who subsequently underwent brain CT. Exclusion Criteria: * Patients who opted-out or did not give permission to reuse clinical data. * Patients with a history of prior brain surgery. * Patients whose brain CT or MRI exhibit severe artifacts (e.g. heavy warping due to air, metal artifacts, heavy motion artifacts), thereby impeding the usage of the data.

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Conditions

The condition(s) this trial relates to.

brain ischemia brain neoplasm central nervous system disorder cerebrovascular disorder hemorrhagic stroke neurodegenerative disease traumatic brain injury

As listed by the trial registrant

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

Ai (artificial intelligence) Central nervous system disease CT MRI Radiology

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

  • Beijing Tiantan Hospital

    Beijing, China

More trials for these conditions

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