Evidence map›Paper›PMID 40603806›Full record

ReviewNano-micro letters2025

Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring.

Yumo She, He Liu, Hailiang Yuan, Yiqi Li, Xunjie Liu, Ruonan Liu, Mengyao Wang, Tingting Wang, Lina Wang, Meihan Liu and 3 more

Abstract readReview
In one paragraph

Review in Nano-micro letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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  6. Shadow-Calibrated Stereo Vision for Colorimetric Sweat Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Yumo SheDepartment of Gastroenterology, Endoscopic Center, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China.
He LiuCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, People's Republic of China.
Hailiang YuanCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, People's Republic of China.
Yiqi LiCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, People's Republic of China.
Xunjie LiuCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, People's Republic of China.
Ruonan LiuCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, People's Republic of China.
Mengyao WangDepartment of Gastroenterology, Endoscopic Center, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China.
Tingting WangDepartment of Gastroenterology, Endoscopic Center, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China.
Lina WangCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, People's Republic of China.
Meihan LiuDepartment of Gastroenterology, First Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121000, People's Republic of China. doctorliumeihan@163.com.
Wenyu WanDepartment of Dermatology, The First Hospital of China Medical University, Shenyang, 110001, People's Republic of China. wwan111@outlook.com.
Ye TianCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, People's Republic of China. tianye@bmie.neu.edu.cn.
Kai ZhangDepartment of Gastroenterology, Endoscopic Center, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China. zhangkaidoctor@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Artificial intelligenceConductive hydrogelsRefractory woundsWound healingWound monitoring

Identifiers

PMID40603806
PMCPMC12222607

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.