arXiv:2604.20921v1 Announce Type: new Abstract: We evaluated whether a glaucoma risk assessment (GRA) model trained on All of Us national data can identify patients at high probability of glaucoma using only systemic electronic health records (EHR) at an independent institution. In this cross-sectional study, 20,636 Stanford patients seen from November 2013 to January 2024 were included (15% with
Validating a Deep Learning Algorithm to Identify Patients with Glaucoma using Systemic Electronic Health Records
John Xiang, Rohith Ravindranath, Sophia Y. Wang·arXiv cs.LG··1 min read
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