Evidence map›Paper›PMID 41268729›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Intelligent Sensing: The Emerging Integration of Machine Learning and Soft Sensors Based on Hydrogels and Ionogels.

Wenqing He, Rumin Lin, Suixiu Kong, Mengyi Qiang, Lingqi Huang, Bing Dai, Xi Yao, Lei Su, Xueji Zhang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
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

9 authors.

Wenqing HeCollege of Materials and Energy, Guang'an Institute of Technology, Guang'an, 638000, P. R. China.ORCID https://orcid.org/0000-0002-3609-3822
Rumin LinGuangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, 518060, P. R. China.
Suixiu KongGuangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, 518060, P. R. China.
Mengyi QiangDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong, 999077, P. R. China.
Lingqi HuangSchool of Environmental and Natural Resources, Zhejiang University of Science and Technology, Hangzhou, 310023, P. R. China.
Bing DaiCollege of Intelligent Textile and Fabric Electronics, Zhongyuan University of Technology, Zhengzhou, 450007, P. R. China.
Xi YaoDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong, 999077, P. R. China.
Lei SuSchool of Biomedical Engineering, Marshall Laboratory of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, P. R. China.
Xueji ZhangSchool of Biomedical Engineering, Marshall Laboratory of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, P. R. China.

Funding

Medical-Engineering Interdisciplinary Research Foundation of Shenzhen University 2023YG004National Key Research and Development Project 2023YFC3605300National Key Research and Development Project 2023YFC3605303National Natural Science Foundation of China 22205145Shenzhen Science and Technology Innovation Commission JCYJ20220531101202005Shenzhen Science and Technology Innovation Commission JCYJ20240813153107010Shenzhen Science and Technology Program KQTD20221101093605019
6 · The paper itself

Abstract

Intelligent sensing means the capability of systems to perceive, learn, analyze, and predict based on external stimuli, mimicking the cognitive functions of the human brain. With the assistance of machine learning algorithms for data processing, soft sensors made from hydrogels and ionogels possess intelligent sensing abilities. Here, the recent advances of hydrogel- and ionogel-based soft sensors are comprehensively investigated and summarized, with a specific focus on machine learning-implemented applications, including handwriting/gesture/object/motion/speech recognition, health monitoring, food detection, and beyond. With current limitations and future perspectives discussed, the fusion of the two is envisioned that can accelerate the development of intelligent sensing in the areas of human-machine interface (HMI), health care, and soft robotics.

Indexed as

HydrogelsMachine LearningHumansRoboticsHydrogelshydrogelsintelligent sensingionogelsmachine learningwearable sensors

Identifiers

PMID41268729
PMCPMC12752558

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.