An artificial intelligence (AI) system could aid clinicians in assessing psoriasis severity, according to a short report published in the Journal of the European Academy of Dermatology and Venereology. Investigators developed a simplified Psoriasis Area and Severity Index (PASI) system (Single-Shot PASI) and associated AI models capable of assessing psoriasis severity. Model development used 705 psoriasis images of a patient’s front and back trunk, and 10 images were used to validate the deep learning system. Thirteen board-certified dermatologists or residents and nine medical students scored test sets without AI assistance and subsequently referred to the AI scores, then re evaluated their previous scores. With AI assistance, mean absolute differences from AI scores and standard deviation among evaluators were significantly reduced. “For dermatologists, the Single-Shot PASI system reduces the burden of scoring psoriasis severity,” the study authors wrote. “Even when the AI scores of the Single-Shot PASI system are not directly used, referencing them reduces deviations in the evaluation between dermatologists.”
