By Lisette Hilton, Dermatology Times (DECEMBER 3, 2019)
It’s not a question of whether artificial intelligence (AI) will disrupt dermatology. Changes to the specialty — thanks to accumulating data and images — have already begun.
Researchers studying if machine-learning algorithms could diagnose the spectrum of pigmented skin lesions as accurately as human experts found machine-learning outperformed human experts but had limitations and didn’t take the place of humans, according to the study published June 11, 2019 in The Lancet Oncology.
Art Papier, M.D., CEO of the diagnostic clinical decision support system VisualDx and associate professor in dermatology and Medical Informatics at the University of Rochester, says a growing image library in dermatology and other specialties is helping to train VisualDx and other software algorithms to recognize a spectrum of diseases and disorders.
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