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Artificial Intelligence Systematic Review for Mohs (Sept 2024) - Already Listed Above

Mirza FN, Haq Z, Abdi P, et al.
Comparison of Educational Materials on Mohs Outcomes - Patient Understanding (2024)

This systematic review evaluated artificial intelligence applications in Mohs micrographic surgery, including automated tissue processing, margin assessment, and tumor detection on histologic slides. The review summarized current evidence for AI integration and identified barriers to clinical implementation.

Take-Home Messages

  • •AI shows promising potential for assisting Mohs surgeons in tumor detection and margin assessment on frozen sections.
  • •Clinical implementation of AI in Mohs surgery requires further validation studies and integration with existing histotechnique workflows.

Topic

AI & Digital Pathology

Machine learning, digital pathology, AI-assisted diagnosis in Mohs

Abstract

Over the past decade, several studies have shown that potential of artificial intelligence (AI) in dermatology. However, there has yet to be a systematic review evaluating the usage of AI specifically within the field of Mohs micrographic surgery (MMS). In this review, we aimed to comprehensively evaluate the current state, efficacy, and future implications of AI when applied to MMS for the treatment of nonmelanoma skin cancers (NMSC). A systematic review and meta-analysis was conducted follo...

Literature review only. This summary is an editorial interpretation and may not reflect the complete findings of the original publication. Always refer to the full-text article for clinical decision-making.