AI could boost clinical skills of rural physicians

NCT ID NCT07711600

What the study statuses mean

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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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 17, 2026 · Last updated Jul 17, 2026

Summary

This study tests whether giving rural doctors access to a large language model (LLM) — a type of AI — along with brief training on how to use it safely, can improve their clinical decision-making. Around 240 rural physicians in China will work through simulated patient cases, either using the AI or conventional resources. The goal is to see if AI assistance leads to better diagnostic judgments and recognition of warning signs.

What this could mean

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

Active substance
training on using large language models (LLMs) for clinical decision support
What this could lead to
If effective, this approach could help rural doctors make better decisions, potentially improving patient care in areas with limited resources.
What could go wrong
This is a small, early-stage study focused on simulated cases, not real patients. The results may not translate to actual clinical practice or other 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 240 people

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

Expected to start

Jul 2026

An estimate. Start dates often move.

Expected to finish

Sep 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 to 65 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.

Inclusion Criteria: * Currently engaged in clinical practice at a rural primary healthcare institution in northwestern China. * Has received formal medical education and holds a relevant diploma or degree. * Able to read and understand clinical case materials in Chinese. * Able to use a computer to complete the study tasks. * Willing to participate and able to provide written informed consent. Exclusion Criteria: * Previously involved in the development of the clinical case tasks, reference answers, or scoring rubric for this study. * Previously participated in pilot testing involving the same clinical case tasks or study procedures.

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As listed by the trial registrant

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

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

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

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  3. A doctor treating you

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Contacts and locations

Locations

  • Xinjiang Second Medical College

    Karamay, Xinjiang Uygur Autonomous Region, China

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