ArticleScientific reports2025
Detection of flap malperfusion after microsurgical tissue reconstruction using hyperspectral imaging and machine learning.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic Accuracy of AI in Prediction and Assessment of Compromised Free Flaps: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Review
- Artificial Intelligence in Microsurgical Planning: A Five-Year Leap in Clinical Translation.Journal of clinical medicine · 2025Review
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
Hyperspectral imaging (HSI) has shown significant diagnostic potential for both intra- and postoperative perfusion assessment. The purpose of this study was to combine machine learning and neural networks with HSI to develop a method for detecting flap malperfusion after microsurgical tissue reconstruction. Data records were analysed to assess the occurrence of flap loss after microsurgical procedures. A total of 59 free flaps were recorded, ten of which demonstrated postoperative malperfusion, leading to necrosis. Several supervised classification algorithms were evaluated to differentiate impaired perfusion from healthy tissue via HSI recordings. The best flap classification performance was observed using a convolutional neural network using HSI based perfusion parameters within 72 h after surgery, with an area under the curve of 0.82 ± 0.05, a sensitivity of 70% ± 33%, a specificity of 76% ± 26%, and an F1 score of 68% ± 28%. HSI combined with artificial intelligence approaches in diagnostic tools could significantly improve the detection of postoperative malperfusion and potentially increase flap salvage rates.
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