Physician Diagnosis of Neurologic Cases With Large Language Models

January 28, 2026 updated by: Ji Xunming,MD,PhD, Capital Medical University

Physician Diagnosis of Neurologic Cases Assisted by Large Language Models: A Randomized Controlled Trial

This study is a prospective randomized controlled trial that aims to evaluate whether large language model (LLM) assistance improves physicians' diagnostic performance compared with conventional assistance.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

The study population consists of licensed physicians who have completed at least two years of neurology training. Participants are randomly assigned in a 1:1 ratio to the LLM assistance group or the conventional assistance group. In the LLM assistance group, physicians are assisted by an in-house LLM and are allowed to use conventional resources (e.g., search engines, UpToDate, or clinical guidelines) before submitting a final diagnosis. Access to any other LLMs is not permitted. In the conventional assistance group, physicians use only conventional resources and do not have access to the in-house LLM or any other LLMs at any point during the study. The primary outcome is top-1 diagnostic accuracy. Secondary outcomes include top-3 diagnostic accuracy, the time required to complete each case, and physicians' diagnostic confidence.

Study Type

Interventional

Enrollment (Actual)

40

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Beijing Municipality
      • Beijing, Beijing Municipality, China, 100053
        • Xuanwu Hospital Capital Medical University
      • Beijing, Beijing Municipality, China, 100000
        • Beijing Luhe Hospital Affiliated to Capital Medical University
    • Henan
      • Nanyang, Henan, China, 473000
        • Nanyang Central Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: LLM assistance group
Physicians are assisted by an in-house LLM and are allowed to use conventional resources. Access to any other LLMs is not permitted.
Physicians are assisted by an in-house large language model and are allowed to use conventional resources. Access to any other LLMs is not permitted.
No Intervention: Conventional assistance group
Physicians use only conventional resources and do not have access to the in-house LLM or any other LLMs at any point during the study.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Top-1 diagnostic accuracy
Time Frame: Baseline
Top-1 diagnosis is considered correct if the physician's final top-ranked diagnosis matches the reference diagnosis or a clinically similar diagnosis judged as equivalent by neurologists.
Baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Top-3 diagnostic accuracy
Time Frame: Baseline
Top-3 diagnosis is considered correct if the reference diagnosis or a clinically similar diagnosis judged as equivalent by neurologists appears among the physician's top three final diagnoses.
Baseline
Time spent on diagnosis
Time Frame: Baseline
Time participants spend per case.
Baseline
Diagnostic confidence
Time Frame: Baseline
Physicians' diagnostic confidence will be measured using a five-point Likert scale (1=very unsure, 5=very sure).
Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 17, 2026

Primary Completion (Actual)

January 28, 2026

Study Completion (Actual)

January 28, 2026

Study Registration Dates

First Submitted

December 1, 2025

First Submitted That Met QC Criteria

January 8, 2026

First Posted (Actual)

January 15, 2026

Study Record Updates

Last Update Posted (Actual)

January 29, 2026

Last Update Submitted That Met QC Criteria

January 28, 2026

Last Verified

January 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • LLM-001

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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