Detection of flap malperfusion after microsurgical tissue reconstruction using hyperspectral imaging and machine learning

Detection of flap malperfusion after microsurgical tissue reconstruction using hyperspectral imaging and machine learning

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 tissu...

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Bibliographic Details
Main Authors: Marianne Maktabi, Benjamin Huber, Toni Pfeiffer, Torsten Schulz
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Free flap
Perfusion
Hyperspectral imaging (HSI)
Machine learning
Plastic surgery
Online Access:https://doi.org/10.1038/s41598-025-98874-4
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https://doi.org/10.1038/s41598-025-98874-4

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