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August 7, 2026Annals of Plastic Surgery

Seeing Beyond the Surgeon’s Eye

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Authors

MEManoochehr EbrahimianImam Khomeini HospitalRKReyhaneh KamaliIran University of Medical Sciences

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Implication

Review examines AI methods for detecting ischemia in vascularized flaps, highlighting significance and challenges.

Key Points

  • The review aims to explore AI-assisted techniques in monitoring free vascularized flaps for ischemia detection.
  • Systematic-narrative hybrid review conducted using databases like PubMed and Embase from 2000 to 2026.
  • Included studies focused on outcomes like flap viability and ischemia detection; excluded non-clinical studies.
  • Two independent reviewers performed study selection and data extraction.
  • Nine studies included, predominantly using supervised machine-learning models and various imaging techniques.
  • AI systems achieved diagnostic accuracy ranging from 82% to 98.4% for ischemia detection.
  • Key challenges identified include limited datasets, lack of external validation, and concerns about generalizability.

Cite This Study

Ebrahimian et al. (2026) studied this question.

synapsesocial.com/papers/6a758c0f847ab6d26c01fc87https://doi.org/10.1097/sap.0000000000004848
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