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Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring

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

DOI: 10.1007/s40820-025-01834-wStatus: Verified Translated Edition
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Key Findings in This Report

• Conductive hydrogel dressings integrate monitoring and therapeutic functions, leveraging endogenous electrical stimulation to promote healing of refractory wounds. • The review details material selection for conductive hydrogels, including conductive polymers and inorganic nanoparticles, and their role in wound monitoring. • AI models applied to sensor-derived data enable non-invasive, real-time prediction and optimization of wound healing trajectories. • Specific applications for pressure ulcers, diabetic ulcers, and articular wounds highlight the clinical potential and current challenges of these smart dressings.
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