Evidence map›Paper›PMID 37565051›Full record

ArticleMicrosystems & nanoengineering2023

Self-sensing intelligent microrobots for noninvasive and wireless monitoring systems.

Zhongyi Li, Kun Wang, Chaojian Hou, Chunyang Li, Fanqing Zhang, Wu Ren, Lixin Dong, Jing Zhao

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Embodied Cross-Domain Intelligence in Biomedical Microrobots: A Review.Cyborg and bionic systems (Washington, D.C.) · 2026
    Review
  4. Review
  5. Article
  6. Template-free 3D programmable magnetization of soft millirobots induced by interlayer stress.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Medical Imaging Technology for Micro/Nanorobots.Nanomaterials (Basel, Switzerland) · 2023
    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

8 authors.

Zhongyi Li *School of Mechatronical Engineering, Beijing Institute of Technology, 100081 Beijing, China.
Kun Wang *Department of Biomedical Engineering, City University of Hong Kong, 999077 Kowloon Tong, Hong Kong China.
Chaojian Hou *Department of Biomedical Engineering, City University of Hong Kong, 999077 Kowloon Tong, Hong Kong China.
Chunyang LiSchool of Mechatronical Engineering, Beijing Institute of Technology, 100081 Beijing, China.ORCID 0000-0003-2433-7268
Fanqing ZhangSchool of Mechatronical Engineering, Beijing Institute of Technology, 100081 Beijing, China.
Wu RenSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, 100081 Beijing, China.
Lixin DongDepartment of Biomedical Engineering, City University of Hong Kong, 999077 Kowloon Tong, Hong Kong China.ORCID 0000-0002-8816-4944
Jing ZhaoSchool of Mechatronical Engineering, Beijing Institute of Technology, 100081 Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microrobots have garnered tremendous attention due to their small size, flexible movement, and potential for various in situ treatments. However, functional modification of microrobots has become crucial for their interaction with the environment, except for precise motion control. Here, a novel artificial intelligence (AI) microrobot is designed that can respond to changes in the external environment without an onboard energy supply and transmit signals wirelessly in real time. The AI microrobot can cooperate with external electromagnetic imaging equipment and enhance the local radiofrequency (RF) magnetic field to achieve a large penetration sensing depth and a high spatial resolution. The working ranges are determined by the structure of the sensor circuit, and the corresponding enhancement effect can be modulated by the conductivity and permittivity of the surrounding environment, reaching ~560 times at most. Under the control of an external magnetic field, the magnetic tail can actuate the microrobotic agent to move accurately, with great potential to realize in situ monitoring in different places in the human body, almost noninvasively, especially around potential diseases, which is of great significance for early disease discovery and accurate diagnosis. In addition, the compatible fabrication process can produce swarms of functional microrobots. The findings highlight the feasibility of the self-sensing AI microrobots for the development of in situ diagnosis or even treatment according to sensing signals.

Indexed as

EngineeringPhysics

Identifiers

PMID37565051
PMCPMC10409863

What OpenQuestion holds

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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.