
Real-World Performance of AI in Screening for Diabetic Retinopathy
JAMA Medical News
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AI in Diabetic Retinopathy Screening: Insights on Implementation and Effectiveness
This chapter explores the effectiveness of AI models in detecting severe diabetic retinopathy cases, addressing issues like false positives and the necessity of adapting thresholds to local contexts. The discussion also highlights practical implementation challenges encountered in rural clinics, including technician training and environmental influences on image quality.
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