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Evaluate the Performance of Large Language Models in Ophthalmologic Patient Consultation

Sun Yat-sen University logo

Sun Yat-sen University

Status

Not yet enrolling

Conditions

Non-emergency Ocular Diseases

Treatments

Other: Consultation Model of large language model in Ophthalmology Clinics

Study type

Interventional

Funder types

Other

Identifiers

NCT06824389
2025KYPJ004

Details and patient eligibility

About

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.

Enrollment

172 estimated patients

Sex

All

Volunteers

Accepts Healthy Volunteers

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.

Trial design

Primary purpose

Screening

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

172 participants in 2 patient groups

Large language models in consultation
Experimental group
Description:
After the patient signs the informed consent form, the large language model completes the medical history collection and recommends examinations.
Treatment:
Other: Consultation Model of large language model in Ophthalmology Clinics
Traditional consultation
No Intervention group
Description:
After the patient signs the informed consent form, doctor completes the medical history collection and recommends examinations.

Trial contacts and locations

0

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Central trial contact

Haotian Lin; Mingjie Luo

Data sourced from clinicaltrials.gov

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