Prospective, comparative evaluation of a deep neural network and dermoscopy in the diagnosis of onychomycosis

Abstract

As a standalone method, the algorithm analyzed photographs taken by non-physician and showed comparable accuracy for the diagnosis of onychomycosis to that made by experienced dermatologists and by dermoscopic examination. Large sample size and world-wide, multicentered studies should be investigated to prove the performance of the algorithm.