Evidence map›Paper›PMID 37896597›Full record

ReviewSensors (Basel, Switzerland)2023

Microsurgery Robots: Applications, Design, and Development.

Tiexin Wang, Haoyu Li, Tanhong Pu, Liangjing Yang

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.7field-weighted citation impact, top 4% of its field
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

14 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
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  3. Article
  4. Review
  5. Monocular suture needle pose detection using synthetic data augmented convolutional neural network.International journal of computer assisted radiology and surgery · 2025
    Article
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  7. Article
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  13. Review
  14. Article
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

4 authors at 2 institutions in 2 countries.

Tiexin WangZJU-UIUC Institute, International Campus, Zhejiang University, Haining 314400, China.
Haoyu LiZJU-UIUC Institute, International Campus, Zhejiang University, Haining 314400, China.
Tanhong PuZJU-UIUC Institute, International Campus, Zhejiang University, Haining 314400, China.
Liangjing YangZJU-UIUC Institute, International Campus, Zhejiang University, Haining 314400, China.ORCID 0000-0002-3294-0879
Zhejiang University-University of Edinburgh Institute · CNUniversity of Illinois Urbana-Champaign · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microsurgical techniques have been widely utilized in various surgical specialties, such as ophthalmology, neurosurgery, and otolaryngology, which require intricate and precise surgical tool manipulation on a small scale. In microsurgery, operations on delicate vessels or tissues require high standards in surgeons' skills. This exceptionally high requirement in skills leads to a steep learning curve and lengthy training before the surgeons can perform microsurgical procedures with quality outcomes. The microsurgery robot (MSR), which can improve surgeons' operation skills through various functions, has received extensive research attention in the past three decades. There have been many review papers summarizing the research on MSR for specific surgical specialties. However, an in-depth review of the relevant technologies used in MSR systems is limited in the literature. This review details the technical challenges in microsurgery, and systematically summarizes the key technologies in MSR with a developmental perspective from the basic structural mechanism design, to the perception and human-machine interaction methods, and further to the ability in achieving a certain level of autonomy. By presenting and comparing the methods and technologies in this cutting-edge research, this paper aims to provide readers with a comprehensive understanding of the current state of MSR research and identify potential directions for future development in MSR.

Indexed as

NeurosurgeryRoboticsClinical CompetenceHumansMicrosurgeryNeurosurgical Procedurescontrol and automationhuman–machine interaction (HMI)imaging and sensingmechanism designmicrosurgery robot (MSR)

Identifiers

PMID37896597
PMCPMC10611418
OpenAlexW4387705768

What Socratic 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 Socratic graph.