Artificial Intelligence Closes Care Gaps in Diabetic Eye Exams

Artificial Intelligence Closes Care Gaps in Diabetic Eye Exams

Risa Wolf, MD Credit: Johns Hopkins Medicine Autonomous artificial intelligence (AI) diabetic eye exams increase screening rates for youth with diabetes and close further care gaps among a racially and ethnically diverse population versus the standard of care, according to new research.1 Analyses of the ACCESS randomized controlled trial revealed these findings remained accurate despite …

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A newly developed deep learning-based system for automatic detection and classification of small bowel lesions during double-balloon enteroscopy examination | BMC Gastroenterology

A newly developed deep learning-based system for automatic detection and classification of small bowel lesions during double-balloon enteroscopy examination | BMC Gastroenterology

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