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

ABSTRACT:

Background

Early detection of melanoma, a potentially lethal type of skin cancer with high prevalence worldwide, improves patient prognosis. In retrospective studies, artificial intelligence (AI) has proven to be helpful for enhancing melanoma detection. However, there are few prospective studies confirming these promising results. Existing studies are limited by low sample sizes, too homogenous datasets, or lack of inclusion of rare melanoma subtypes, preventing a fair and thorough evaluation of AI and its generalizability, a crucial aspect for its application in the clinical setting.

Methods

Therefore, we assessed "All Data are Ext" (ADAE), an established open-source ensemble algorithm for detecting melanomas, by comparing its diagnostic accuracy to that of dermatologists

SUBMITTER: Heinlein L 

PROVIDER: S-EPMC11387610 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature