A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis
Pontificia Universidad Católica de Chile · Memorial Sloan Kettering Cancer Center
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…
Citation impact
- FWCI
- 27.32
- Percentile
- 100%
- References
- 84
Authors
10- MPMaría Paz SalinasCorresponding
Pontificia Universidad Católica de Chile
- JSJaviera Sepúlveda
Pontificia Universidad Católica de Chile
- LHLeonel Hidalgo
Pontificia Universidad Católica de Chile
- DPDominga Peirano
Pontificia Universidad Católica de Chile
- MMMacarena Morel-Marambio
Pontificia Universidad Católica de Chile
Topics & keywords
- Meta-analysis
- Medicine
- Cochrane Library
- MEDLINE
- Systematic review
- Artificial intelligence
- Electronic database
- Machine learning