Prospective multicenter study using artificial intelligence to improve dermoscopic melanoma diagnosis in patient care.

ADAE prediction generalizability Overall, there was no significant association between the ADAE prediction performance and the patient age ( p = 0.104), skin type ( p = 0.587; excluding unknown skin types, and skin types V + VI due to low sample size (<25)), or lesion location domain ( p = 0.233; excluding lesions in unknown locations, and oral/genital lesions due to low sample size (<25)), the technical domain (i.e., camera setup; p = 0.068) or the dermatologists’ diagnostic confidence score, although borderline significant ( p = 0.050).

also in 4,128 other papers