Artificial Intelligence Eases Burden of Blindness in Diabetes

Last year the California Health Care Foundation (CHCF) sponsored a $100,000 competition using the Kaggle data science community to find the best algorithms, or computer programs, for detecting diabetic retinal disease from digital images. In all, 661 teams of engineers and researchers throughout the world submitted 6,999 algorithms. By the fourth month of the competition, algorithms were matching the diagnostic performance of humans. After six months of competition, Professor Ben Graham of the University of Warwick in the United Kingdom was declared the winner. Graham had developed an algorithm that performed “better” than typical human graders, with an accuracy score of 86%. I will explain why “better” is in quotes and what this means for actual clinical care of diabetic eye disease, but first let’s examine the rationale for the…

Link to Full Article: Artificial Intelligence Eases Burden of Blindness in Diabetes

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