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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.
VisualDx is an award-winning diagnostic clinical decision support system that has become the standard electronic resource at more than half of U.S. medical schools and more than 1,500 hospitals and institutions nationwide. VisualDx combines clinical search with the world's best medical image library, plus medical knowledge from experts to help with diagnosis, treatment, self-education, and patient communication. Expanding to provide diagnostic decision support across General Medicine, the new VisualDx brings increased speed and accuracy to the art of diagnosis. Learn more at www.visualdx.com.