Enhancing diabetic retinopathy query responses: assessing large language model in ophthalmology.

ABSTRACT:

Background

Diabetic retinopathy (DR) is a leading cause of blindness, with an increasing reliance on large language models (LLMs) for health-related information. The specificity of LLM-generated responses to DR queries is yet to be established, prompting an investigation into their suitability for ophthalmological contexts.

Methods

A cross-sectional study involving six LLMs was conducted to ascertain the accuracy and comprehensiveness of responses to 42 DR-related questions from 1 February 2024 to 31 March 2024. Three consultant-level ophthalmologists independently assessed the responses, grading them on accuracy and comprehensiveness. Additionally, the self-correction capability and readability of the responses were analysed statistically.

Results

An analysis of 252

SUBMITTER: Wu H 

PROVIDER: S-EPMC12573325 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature