Determinants for scalable adoption of autonomous AI in the detection of diabetic eye disease in diverse practice types: key best practices learned through collection of real-world data.

Juli Goldstein¹, Dena Weitzman¹, Meghan Lemerond¹, Andrew Jones¹

¹Digital Diagnostics Inc., Coralville, IA, United States.

Abstract

Autonomous Artificial Intelligence (AI) has the potential to reduce disparities, improve quality of care, and reduce cost by improving access to specialty diagnoses at the point-of-care. Diabetes and related complications represent a significant source of health disparities. Vision loss is a complication of diabetes, and there is extensive evidence supporting annual eye exams for prevention. Prior…

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