Clinical decision support tool that builds differentials to evaluate the possibilities, compare variations, and improve diagnostic accuracy at the point of care across several professional specialties. Includes dermatology of skin types and skin of color. Mobile friendly. App available.
Diversity in Diagnostic Accuracy and Dermatological Education
Artificial intelligence is a powerful tool to assist physicians in the diagnosis of skin lesions. This study shows an overall 70% diagnostic accuracy in Fitzpatrick I-III and 68% in Fitzpatrick IV-VI using an AI tool, compared to 36% accuracy without any assistance.
"Dermatology educators must reappraise our current teaching practice and curriculum. Our challenge is to ensure that physicians and trainees are fully competent to diagnose dermatological disease in skin of any color, irrespective of who their teachers are or where they are trained."
Within the next two decades, individuals with Fitzpatrick's skin phototypes IV-VI (skin of color, SoC) will comprise nearly half of the US population. This article aims to evaluate the use of SoC images in popular USMLE preparatory resources.