Despite increased imaging referrals, AI-based diabetic retinopathy detection systems have not gained traction in the United States, with traditional methods still dominant.
since 2021, despite approval from the US Food and Drug Administration; traditional remote imaging methods for the detection of the eye disorder remain more prevalent.Researchers conducted the retrospective cohort study using the TriNetX federated database across 62 healthcare organizations in the United States to evaluate national trends in the AI-based detection of diabetic retinopathy .
Usage rates of a Current Procedural Terminology code for AI-based screening were compared with those of traditional codes for remote eye imaging and imaging modalities from secondary referrals.
Artificial Intelligence Deep Learning AI NPL Machine Learning ML Natural Language Processing Artificial Neural Networks Healthcare And Medical Technology Health And Medical Tech Health And Med Tech Health And Medical Technology Healthcare Technology Medical Technology Diabetic Retinopathy Retinopathy Retinal Disease Eye Referral Blindness
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