New research out of Thailand found that a deep learning algorithm was able to diabetic retinopathy in patients with diabetes on par with community specialists, according to a study published in The Lancet.
Researchers discovered that the deep-learning system was able to detect vision-threatening diabetic retinopathy with an accuracy of 94.7%, sensitivity of 91.4% and specificity of 95.4%. This was compared to the retina specialist over-readers who performed with an accuracy of 93.5%, a sensitivity of 84.8% and a specificity of 95.5%.
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