Artificial Intelligence Models to Identify Patients with High Probability of Glaucoma Using Electronic Health Records.

ABSTRACT:

Purpose

Early detection of glaucoma allows for timely treatment to prevent severe vision loss, but screening requires resource-intensive examinations and imaging, which are challenging for large-scale implementation and evaluation. The purpose of this study was to develop artificial intelligence models that can utilize the wealth of data stored in electronic health records (EHRs) to identify patients who have high probability of developing glaucoma, without the use of any dedicated ophthalmic imaging or clinical data.

Design

Cohort study.

Participants

A total of 64 735 participants who were ≥18 years of age and had ≥2 separate encounters with eye-related diagnoses recorded in their EHR records in the All of Us Research Program, a national multicenter cohort of patient

SUBMITTER: Ravindranath R 

PROVIDER: S-EPMC11930135 | biostudies-literature | 2025 May-Jun

REPOSITORIES: biostudies-literature