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06/03/26

Limits of artificial intelligence models for skin cancer diagnosis in realistic settings.

Anriot, Julien; Yan, Siyuan; Coste, Clio; Tschandl, Philipp; Verlingue, Loic; Andremasse, Camille; Amini-Adle, Mona; Perrot, Jean Luc; Ge, Zongyuan; Kittler, Harald; Thomas, Luc. JAMA Dermatol.

Collection Topics
AI and Diagnosis Big Three Conditions Tests, Screening, and Laboratory Processes
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Summary

AI skin cancer tools do well in controlled settings but often fall short in routine care. In this multi-institutional study, three AI algorithms were compared with 652 physician evaluators using realistic, including rare and atypical cases. The general-purpose model beat physician readers with less than three years of experience, matching those with three to 10 years, and lagged behind experts with more than 10 years.

Read the paper
Anriot J, Yan S, Coste C, et al. Limits of artificial intelligence models for skin cancer diagnosis in realistic settings. JAMA Dermatol. 2026;162(7):701-708.