Diagnostic Accuracy of Artificial Intelligence Models for Predicting Postoperative Complications Following Free Flap Reconstruction: A Systematic Review and Meta‐Analysis
AI models, particularly those incorporating photographic data and deep learning models, demonstrate high diagnostic accuracy and hold promise as adjunct tools for postoperative flap monitoring.
Authors
- Ramin Shekouhi (ORCID: https://orcid.org/0000-0002-3784-5280)
- Harvey Chim (ORCID: https://orcid.org/0000-0002-6139-8708)
- Mohammad Hasan Darabi (ORCID: https://orcid.org/0000-0002-5945-7318)
Institutions
- University of Kentucky (US)
- Louisiana State University Health Sciences Center New Orleans (US)
Publication Details
- Journal
- Microsurgery
- Published
- 2025-11-13
- DOI
- https://doi.org/10.1002/micr.70143
- Primary Topic
- Reconstructive Surgery and Microvascular Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00