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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| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-07-01
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| Series: | Nano-Micro Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40820-025-01834-w |
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| _version_ | 1849332118344171520 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Yumo She |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-5eba917985f64e55b1fe999bd50b5edc |
| institution | Kabale University |
| issn | 2311-6706 2150-5551 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Nano-Micro Letters |
| spelling | doaj-art-5eba917985f64e55b1fe999bd50b5edc2025-08-20T03:46:19ZengSpringerOpenNano-Micro Letters2311-67062150-55512025-07-0117113410.1007/s40820-025-01834-wArtificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds MonitoringYumo She0He Liu1Hailiang Yuan2Yiqi Li3Xunjie Liu4Ruonan Liu5Mengyao Wang6Tingting Wang7Lina Wang8Meihan Liu9Wenyu Wan10Ye Tian11Kai Zhang12Department of Gastroenterology, Endoscopic Center, Shengjing Hospital of China Medical UniversityCollege of Medicine and Biological Information Engineering, Northeastern UniversityCollege of Medicine and Biological Information Engineering, Northeastern UniversityCollege of Medicine and Biological Information Engineering, Northeastern UniversityCollege of Medicine and Biological Information Engineering, Northeastern UniversityCollege of Medicine and Biological Information Engineering, Northeastern UniversityDepartment of Gastroenterology, Endoscopic Center, Shengjing Hospital of China Medical UniversityDepartment of Gastroenterology, Endoscopic Center, Shengjing Hospital of China Medical UniversityCollege of Medicine and Biological Information Engineering, Northeastern UniversityDepartment of Gastroenterology, First Affiliated Hospital of Jinzhou Medical UniversityDepartment of Dermatology, The First Hospital of China Medical UniversityCollege of Medicine and Biological Information Engineering, Northeastern UniversityDepartment of Gastroenterology, Endoscopic Center, Shengjing Hospital of China Medical UniversityHighlights 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.https://doi.org/10.1007/s40820-025-01834-wArtificial intelligenceConductive hydrogelsRefractory woundsWound healingWound monitoring |
| spellingShingle | 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 Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring Nano-Micro Letters Artificial intelligence Conductive hydrogels Refractory wounds Wound healing Wound monitoring |
| title | Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring |
| title_full | Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring |
| title_fullStr | Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring |
| title_full_unstemmed | Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring |
| title_short | Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring |
| title_sort | artificial intelligence assisted conductive hydrogel dressings for refractory wounds monitoring |
| topic | Artificial intelligence Conductive hydrogels Refractory wounds Wound healing Wound monitoring |
| url | https://doi.org/10.1007/s40820-025-01834-w |
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