Evidence map›Paper›PMID 36704240›Full record

ReviewFrontiers in robotics and AI2022

Advanced medical micro-robotics for early diagnosis and therapeutic interventions.

Dandan Zhang, Thomas E Gorochowski, Lucia Marucci, Hyun-Taek Lee, Bruno Gil, Bing Li, Sabine Hauert, Eric Yeatman

Abstract readReview
In one paragraph

Review in Frontiers in robotics and AI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Embodied Cross-Domain Intelligence in Biomedical Microrobots: A Review.Cyborg and bionic systems (Washington, D.C.) · 2026
    Review
  2. Modeling feasible locomotion of nanobots for cancer detection and treatment.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Programmable acoustic modular microrobots.Journal of micro-bio robotics · 2024
    Article
  8. Review
  9. Article
  10. 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.

Dandan ZhangDepartment of Engineering Mathematics, University of Bristol, Bristol, United Kingdom.
Thomas E GorochowskiSchool of Biological Sciences, University of Bristol, Bristol, United Kingdom.
Lucia MarucciDepartment of Engineering Mathematics, University of Bristol, Bristol, United Kingdom.
Hyun-Taek LeeDepartment of Mechanical Engineering, Inha University, Incheon, South Korea.
Bruno GilDepartment of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom.
Bing LiThe Institute for Materials Discovery, University College London, London, United Kingdom.
Sabine HauertDepartment of Engineering Mathematics, University of Bristol, Bristol, United Kingdom.
Eric YeatmanDepartment of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent technological advances in micro-robotics have demonstrated their immense potential for biomedical applications. Emerging micro-robots have versatile sensing systems, flexible locomotion and dexterous manipulation capabilities that can significantly contribute to the healthcare system. Despite the appreciated and tangible benefits of medical micro-robotics, many challenges still remain. Here, we review the major challenges, current trends and significant achievements for developing versatile and intelligent micro-robotics with a focus on applications in early diagnosis and therapeutic interventions. We also consider some recent emerging micro-robotic technologies that employ synthetic biology to support a new generation of living micro-robots. We expect to inspire future development of micro-robots toward clinical translation by identifying the roadblocks that need to be overcome.

Indexed as

Artificial Intelligencebiomedical engineeringmedicinemicro-manipulationmicro-robotics

Identifiers

PMID36704240
PMCPMC9871318

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.