A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis.
Ontology highlight
ABSTRACT: Scientific research of artificial intelligence (AI) in dermatology has increased exponentially. The objective of this study was to perform a systematic review and meta-analysis to evaluate the performance of AI algorithms for skin cancer classification in comparison to clinicians with different levels of expertise. Based on PRISMA guidelines, 3 electronic databases (PubMed, Embase, and Cochrane Library) were screened for relevant articles up to August 2022. The quality of the studies was assessed using QUADAS-2. A meta-analysis of sensitivity and specificity was performed for the accuracy of AI and clinicians. Fifty-three studies were included in the systematic review, and 19 met the inclusion criteria for the meta-analysis. Considering all studies and all subgroups of clinicians, we found
SUBMITTER: Salinas MP
PROVIDER: S-EPMC11094047 | biostudies-literature | 2024 May
REPOSITORIES: biostudies-literature
ACCESS DATA