Issue

Vol. 17 (2025)

Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring

https://doi.org/10.1007/s40820-025-01834-w
Yumo She
Department of Gastroenterology, Endoscopic Center, Shengjing Hospital of China Medical University, Shenyang 110004, People’s Republic of China
He Liu
College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, People’s Republic of China
Hailiang Yuan
College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, People’s Republic of China
Yiqi Li
College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, People’s Republic of China
Xunjie Liu
College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, People’s Republic of China
Ruonan Liu
College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, People’s Republic of China
Mengyao Wang
Department of Gastroenterology, Endoscopic Center, Shengjing Hospital of China Medical University, Shenyang 110004, People’s Republic of China
Tingting Wang
Department of Gastroenterology, Endoscopic Center, Shengjing Hospital of China Medical University, Shenyang 110004, People’s Republic of China
Lina Wang
College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, People’s Republic of China
Meihan Liu
Department of Gastroenterology, First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121000, People’s Republic of China
Wenyu Wan
Department of Dermatology, The First Hospital of China Medical University, Shenyang 110001, People’s Republic of China
Ye Tian
College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, People’s Republic of China
Kai Zhang
Department of Gastroenterology, Endoscopic Center, Shengjing Hospital of China Medical University, Shenyang 110004, People’s Republic of China

Corresponding Author: Kai Zhang

zhangkaidoctor@163.com

Nano-Micro Letters, Vol. 17 (2025), Article Number: 319

Abstract

Refractory wounds cause significant harm to the health of patients and the most common treatments in clinical practice are surgical debridement and wound dressings. However, certain challenges, including surgical difficulty, lengthy recovery times, and a high recurrence rate persist. Conductive hydrogel dressings with combined monitoring and therapeutic properties have strong advantages in promoting wound healing due to the stimulation of endogenous current on wounds and are the focus of recent advancements. Therefore, this review introduces the mechanism of conductive hydrogel used for wound monitoring and healing, the materials selection of conductive hydrogel dressings used for wound monitoring, focuses on the conductive hydrogel sensor to monitor the output categories of wound status signals, proving invaluable for non-invasive, real-time evaluation of wound condition to encourage wound healing. Notably, the research of artificial intelligence (AI) model based on sensor derived data to predict the wound healing state, AI makes use of this abundant data set to forecast and optimize the trajectory of tissue regeneration and assess the stage of wound healing. Finally, refractory wounds including pressure ulcers, diabetes ulcers and articular wounds, and the corresponding wound monitoring and healing process are discussed in detail. This manuscript supports the growth of clinically linked disciplines and offers motivation to researchers working in the multidisciplinary field of conductive hydrogel dressings.


Highlights:
1 The advantages and selection of conductive materials, including conductive polymers and inorganic nanoparticles are discussed in detail.
2 Signal output categories of the conductive hydrogel dressing to monitor wound conditions, notably, AI-based wound monitoring and prediction is highlighted.
3 The review analyzes the application, current challenges and potential prospects of conductive hydrogel dressings for the different refractory wounds monitoring.

Keywords

Artificial intelligence Conductive hydrogels Refractory wounds Wound healing Wound monitoring
She, Yumo, He Liu, Hailiang Yuan, Yiqi Li, Xunjie Liu, Ruonan Liu, Mengyao Wang, Tingting Wang, Lina Wang, Meihan Liu, Wenyu Wan, Ye Tian, and Kai Zhang. 2025. “Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring”. Nano-Micro Letters 17 (July):319. https://doi.org/10.1007/s40820-025-01834-w.
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