A new study published in the Journal of Investigative Dermatology (JID) found that VisualDx's artificial intelligence solution, DermExpert, analyzed skin conditions with the same degree of accuracy as primary care physicians (PCPs) referencing a visual aid. The researchers also found that DermExpert was equally effective when identifying diseases in light and dark skin types, suggesting that clinical decision support tools built on diverse data sets can augment physician decision-making and help to reduce medical errors and improve patient outcomes, particularly for patients of color. Diagnosing the skin remains challenging as dermatologic disease presentation varies widely, and most medical schools offer 10 hours or less of dermatology-specific instruction. To contextualize general practitioners' ability to diagnose skin conditions, the research team compared the accuracy of board-certified internal medicine physicians to DermExpert. When presented with a series of clinical images, PCPs accurately diagnosed skin conditions 36% of the time; with the assistance of a visual aid, their diagnostic accuracy increased to 68%.