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Development and Validation of a Large Language Model-based Myopia Assistant System

NCT06607822 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 70

Last updated 2025-03-13

No results posted yet for this study

Summary

Myopia is a rapidly growing global health concern, and there is an urgent need for advanced tools that can facilitate personalized healthcare strategies. Artificial intelligence (AI)-based solutions, such as large language models, offer robust tools for ophthalmic healthcare. In this study, investigators aim to validate a patient-centered Large Language Model (LLM)-based Myopia Assistant System with the following key objectives: 1) evaluate the ability of the LLM models to generate high-level reports and help self-evaluation of myopia for patients in primary care; 2) evaluate its performance in answering evidence-based medicine-oriented questions and improving overall satisfaction within clinics for myopic patients.

Conditions

  • Myopia
  • Large Language Model

Interventions

DEVICE

A patient-centered assistant system based on Large-Language Model (LLM)

Participants will engage in a 10-minute medical consultation using LLM model interface embedded in a tablet device before their regular face-to-face consulation with physicians. During the trials, participants could engage in free conversations covering aspects including risk factors, symptoms, diagnosis, examinations, treatment, advice and caution, etc. Participants who have completed the ophthalmic imaging examination will be asked to input results into the assistant model to generate structured reports.

Sponsors & Collaborators

  • The Hong Kong Polytechnic University

    lead OTHER

Principal Investigators

  • Mingguang He, M.D, Ph.D · The Hong Kong Polytechnic University

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
6 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-09-21
Primary Completion
2024-10-26
Completion
2024-10-26

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06607822 on ClinicalTrials.gov