Beyond diagnostic accuracy
evaluating the clinical utility of artificial intelligence for suspicious lesion triage.
Chandrasekara N
Skin Health and DiseaseIn the feed 30 Sep 2026, published online 3 Aug 2026, issue 2026 Oct, added to PubMed 30 Sep 2026
Topics: Imaging, dermoscopy & AI
Abstract
The recent systematic review and meta-analysis by Nirula et al. reports pooled sensitivity and specificity of 89% and 82%, respectively, for artificial intelligence (AI)-based differentiation between benign and malignant skin lesions. This highlights the diagnostic potential of these tools. However, diagnostic accuracy alone does not establish clinical utility; a tool that performs well in retrospective validation may not meaningfully alter referral patterns, reduce waiting times or improve healthcare efficiency in practice. As we move closer to the implementation of AI technologies in dermatology services, future studies should evaluate implementation outcomes - including referral avoidance, biopsy rates and healthcare utilization - alongside traditional accuracy metrics.
Abstract from PubMed
PMID 42812947 · DOI 10.1093/skinhd/vzag129