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https://pubmed.ncbi.nlm.nih.gov/38092938
This study found that an offline, artificial intelligence system for referable glaucoma screening using a smartphone-based fundus camera showed robust performance and modest over-referral of normal subjects when compared to specialist diagnosis and image grading.