ChatGPT-Assisted Classification of Postoperative Bleeding Following Microinvasive Glaucoma Surgery Using Electronic Health Record Data.

ABSTRACT:

Purpose

To evaluate the performance of a large language model (LLM) in classifying electronic health record (EHR) text, and to use this classification to evaluate the type and resolution of hemorrhagic events (HEs) after microinvasive glaucoma surgery (MIGS).

Design

Retrospective cohort study.

Participants

Eyes from the Bascom Palmer Glaucoma Repository.

Methods

Eyes that underwent MIGS between July 1, 2014 and February 1, 2022 were analyzed. Chat Generative Pre-trained Transformer (ChatGPT) was used to classify deidentified EHR anterior chamber examination text into HE categories (no hyphema, microhyphema, clot, and hyphema). Agreement between classifications by ChatGPT and a glaucoma specialist was evaluated using Cohen's Kappa and precision-recall (PR) curve

SUBMITTER: Shaheen A 

PROVIDER: S-EPMC11459071 | biostudies-literature | 2025 Jan-Feb

REPOSITORIES: biostudies-literature