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AI boosts doctor diagnoses in small neurology trial

NCT ID NCT07344792

Knowledge-focused Sponsor: Capital 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
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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tested whether a large language model (AI) helps doctors diagnose neurologic cases more accurately. Forty licensed neurologists were split into two groups: one used the AI tool plus usual resources, the other used only usual resources. The main goal was to see if the AI-assisted group made more correct top diagnoses.

What this could mean

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

Active substance
large language model (LLM) assistance
What this could lead to
If successful, this could show that AI tools help doctors make more accurate diagnoses in neurology.
What could go wrong
This is a small, early-stage study with only 40 physicians, so results may not apply broadly. The LLM used is custom-built and may not reflect real-world AI tools.

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

40 people

The number who actually took part.

Started

Jan 2026

Finished

Jan 2026

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

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: * Licensed physicians who have completed at least two years of neurology training. * Willing to participate in the study and able to provide written informed consent. Exclusion Criteria: * Physicians who have previously participated in the development of the in-house LLM or the construction of datasets used in this study. * Physicians who were involved in the clinical care of patients whose cases were used to construct the case dataset for this study. * Physicians who are known to have previously reviewed or been exposed to the specific cases used in this study.

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As listed by the trial registrant

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

Neurology

Contacts and locations

Locations

  • Beijing Luhe Hospital affiliated to Capital Medical University

    Beijing, Beijing Municipality, 100000, China

  • Nanyang Central Hospital

    Nanyang, Henan, 473000, China

  • Xuanwu Hospital Capital Medical University

    Beijing, Beijing Municipality, 100053, China

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