1. AI algorithm shows high accuracy for autonomous diagnosis of keratoconus

    AI algorithm shows high accuracy for autonomous diagnosis of keratoconus

    An artificial intelligence algorithm designed for the autonomous diagnosis of keratoconus was able to correctly differentiate all patients with keratoconus from healthy subjects, according to a speaker at the virtual American Society of Cataract and Refractive Surgery meeting. “The artificial intelligence algorithm is a novel technique with excellent accuracy, sensitivity and specificity in the diagnosis of keratoconus,” Eyüp Özcan, MD, FEBO, said. The algorithm was able to diagnose 42 of 43 keratoconic eyes, achieving an accuracy rate of 98%, a sensitivity rate of 95% and a specificity rate of 94%. No study before this had used anterior segment OCT ...

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