Evaluate the Performance of Large Language Models in Ophthalmologic Patient Consultation

Evaluate the Performance of Large Language Models in Ophthalmologic Patient Consultation: A Randomized Clinical Trial

The intelligent image models lack an understanding of diagnostic and treatment logic, and have not considered textual information such as symptoms and signs. Large language models like ChatGPT, can learn medical knowledge, understand, and generate human natural language, offering new technologies for medical knowledge-based intelligent question answering and the creation of smart medical documents. Therefore, our team plan to verify large language models' feasibility and effectiveness in ophthalmology clinics for medical history collection and examination recommendations during consultations, comparing its performance with traditional methods.

Study Overview

Study Type

Interventional

Enrollment (Actual)

172

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

    • Guangdong
      • Guangzhou, Guangdong, China
        • Zhongshan Ophthalmic Center, Sun Yat-sen University

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:

  • No age or gender restrictions for patients.
  • Non-emergency ocular diseases including corneal diseases, lens disorders, and vitreoretinal diseases.
  • Voluntary participation with signed informed consent.

Exclusion Criteria:

  • Top 10 Ocular Emergencies: globe perforation, ocular chemical injury, corneal ulcer perforation, Pseudomonas aeruginosa keratitis, acute angle-closure glaucoma, acute panophthalmitis, central retinal artery occlusion, acute optic neuritis, endophthalmitis, and orbital cellulitis.

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: Screening
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Large language models in consultation
After the patient signs the informed consent form, the large language model completes the medical history collection and recommends examinations.
Large language model completes the medical history collection and recommends examinations.
No Intervention: Traditional consultation
After the patient signs the informed consent form, doctor completes the medical history collection and recommends examinations.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Medical History Collection Scoring
Time Frame: through study completion, up to 1 week.
The medical history collection is performed using the standard outpatient medical record form. The scoring criteria are developed collaboratively by clinical doctors from multiple specialties and researchers. Scoring is independently conducted in a blinded manner by higher-level specialists.
through study completion, up to 1 week.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Accuracy of Recommended Tests
Time Frame: through study completion, up to 1 week.
The gold standard for both the experimental and control groups consists of test items independently selected by senior specialists, who are not involved in the study.
through study completion, up to 1 week.
Duration of Medical History Collection
Time Frame: through study completion, up to 1 week.
The experimental group uses the developed system to record the consultation and medical record writing completion times, while the control group records the consultation time through audio recording and the medical record writing completion time through the developed system.
through study completion, up to 1 week.
Patient satisfaction
Time Frame: through study completion, up to 1 week.
Collected through a questionnaire.
through study completion, up to 1 week.

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)

May 10, 2025

Primary Completion (Actual)

June 10, 2025

Study Completion (Actual)

June 17, 2025

Study Registration Dates

First Submitted

February 5, 2025

First Submitted That Met QC Criteria

February 12, 2025

First Posted (Actual)

February 13, 2025

Study Record Updates

Last Update Posted (Actual)

January 8, 2026

Last Update Submitted That Met QC Criteria

January 5, 2026

Last Verified

January 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • 2025KYPJ004

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

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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