858 A point-of-care, real time artificial intelligence system to support clinician diagnosis of a wide range of skin diseases

Abstract Dermatological diagnosis remains challenging for non-specialists as the morphologies of primary skins lesions widely varies from patient to patient. Although previous studies have used AI to classify lesions as benign or malignant, there haven’t been extensive studies examining the use of AI on identifying and categorizing a primary skin lesion. In order to improve the diagnostic accuracy of primary care physicians at this task, we introduced a visual schematic system that improved their accuracies from 36% to 68% (p