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Dataset Information

Accuracy and Readability of Chat Generative Pre-Trained Transformer-4 Omni in Answering Ophthalmology Patient Questions.


ABSTRACT:

Purpose

To assess the quality of Chat Generative Pre-Trained Transformer-4 Omni (ChatGPT-4o) responses to questions submitted by patients through Epic MyChart.

Design

Retrospective cross-sectional study.

Participants

One hundred sixty-five patients who submitted ophthalmology-related questions via Epic MyChart.

Methods

Questions asked by ophthalmology clinic patients related to the subspecialties of glaucoma, retina, and cornea via the Epic MyChart at a single institution were evaluated. Nonclinical questions were excluded. Each question was submitted to ChatGPT-4o twice, first without limitations and then after priming the large language model (LLM) to respond at a sixth-grade reading level. The ChatGPT-4o output and subsequent conversations were graded by 2 i

SUBMITTER: Hamzeh N 

PROVIDER: S-EPMC12756631 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature