Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring

Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring

Highlights The advantages and selection of conductive materials, including conductive polymers and inorganic nanoparticles are discussed in detail. Signal output categories of the conductive hydrogel dressing to monitor wound conditions, notably, AI-based wound monitoring and prediction is highlight...

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Bibliographic Details
Main Authors: Yumo She, He Liu, Hailiang Yuan, Yiqi Li, Xunjie Liu, Ruonan Liu, Mengyao Wang, Tingting Wang, Lina Wang, Meihan Liu, Wenyu Wan, Ye Tian, Kai Zhang
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Nano-Micro Letters
Subjects:
Artificial intelligence
Conductive hydrogels
Refractory wounds
Wound healing
Wound monitoring
Online Access:https://doi.org/10.1007/s40820-025-01834-w
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Summary:Highlights The advantages and selection of conductive materials, including conductive polymers and inorganic nanoparticles are discussed in detail. Signal output categories of the conductive hydrogel dressing to monitor wound conditions, notably, AI-based wound monitoring and prediction is highlighted. The review analyzes the application, current challenges and potential prospects of conductive hydrogel dressings for the different refractory wounds monitoring.
ISSN:2311-6706
2150-5551

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