Diagnostic Accuracy of AI in Prediction and Assessment of Compromised Free Flaps: Systematic Review and Meta-Analysis
Kuan-Chen Huang, Melanie J Wang, Yu-Ying Chu, Ren-Wen Huang, Yun-Jui Lu, Cheng-Hung Lin, Chung-Chen Hsu, Shih-Heng Chen, Yu-Te Lin, Che-Hsiung Lee, Stefano Brini · 2026
Read Diagnostic Accuracy of AI in Prediction and Assessment of Compromised Free Flaps: Systematic Review and Meta-Analysis by Kuan-Chen Huang, Melanie J Wang, Yu-Ying Chu, Ren-Wen Huang, Yun-Jui Lu, Cheng-Hung Lin, Chung-Chen Hsu, Shih-Heng Chen, Yu-Te Lin, Che-Hsiung Lee, Stefano Brini (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13596764.txt.
Description
Kuan-Chen Huang and co-authors pooled the research on artificial intelligence tools that watch transplanted tissue flaps after reconstructive surgery and flag failing blood flow before the flap dies. Their systematic review and meta-analysis followed diagnostic accuracy reporting standards, searching five databases and gathering eighteen studies, seventeen of them pooled.
Across studies the AI systems caught roughly eighty-three percent of compromised flaps and correctly cleared about eighty-seven percent of healthy ones, with overall discrimination rated high. Image-based systems performed best of all. Certainty checks and bias assessments were built into the review, and the protocol had been registered in advance. The authors caution that the wide prediction ranges show performance varies a lot between settings, so AI should assist surgical teams' vigilance rather than replace the bedside checks that remain standard.
Catalog record
| CREATOR | Kuan-Chen Huang, Melanie J Wang, Yu-Ying Chu, Ren-Wen Huang, Yun-Jui Lu, Cheng-Hung Lin, Chung-Chen Hsu, Shih-Heng Chen, Yu-Te Lin, Che-Hsiung Lee, Stefano Brini |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 41 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |