Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study.
Roman Christoph MaronJochen Sven UtikalAchim HeklerAxel HauschildElke C SattlerWiebke SondermannSebastian HaferkampBastian SchillingMarkus Vincent HepptPhilipp JansenMarkus ReinholzCindy FranklinLaurenz SchmittDaniela HartmannEva Krieghoff-HenningMax SchmittMichael WeichenthalChristof von KalleStefan FröhlingTitus Josef BrinkerPublished in: Journal of medical Internet research (2020)
The findings of our study show that AI support can improve the overall accuracy of the dermatologists in the dichotomous image-based discrimination between melanoma and nevus. This supports the argument for AI-based tools to aid clinicians in skin lesion classification and provides a rationale for studies of such classifiers in real-life settings, wherein clinicians can integrate additional information such as patient age and medical history into their decisions.