Ocular biomarkers: useful incidental findings by deep learning algorithms in fundus photographs

Background/Objectives Artificial intelligence can assist with ocular image analysis for screening and diagnosis, but it is not yet capable of autonomous full-spectrum screening. Hypothetically, false-positive results may have unrealized screening potential arising from signals persisting despite tra...

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