Evidence map›Paper›PMID 38002426›Full record

ArticleBioengineering (Basel, Switzerland)2023

Implementation of a Virtual Reality Based Digital-Twin Robotic Minimally Invasive Surgery Simulator.

Xiaoyu Cai, Zijun Wang, Shijie Li, Junjun Pan, Chengli Li, Yonghang Tai

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Perception-first digital twin for augmented reality microsurgery.International journal of computer assisted radiology and surgery · 2026
    Article
  5. Digital Twin Technology In Radiology.Journal of imaging informatics in medicine · 2026
    Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. 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

6 authors.

Xiaoyu CaiSchool of Physics and Electronic Information, Yunnan Normal University, Kunming 650000, China.
Zijun WangSchool of Physics and Electronic Information, Yunnan Normal University, Kunming 650000, China.
Shijie LiSchool of Physics and Electronic Information, Yunnan Normal University, Kunming 650000, China.
Junjun PanState Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China.ORCID 0000-0002-7991-9540
Chengli LiSchool of Physics and Electronic Information, Yunnan Normal University, Kunming 650000, China.
Yonghang TaiSchool of Physics and Electronic Information, Yunnan Normal University, Kunming 650000, China.

Funding

National Natural Science Foundations of China 62062070, and 62005235
6 · The paper itself

Abstract

The rapid development of computers and robots has seen robotic minimally invasive surgery (RMIS) gradually enter the public's vision. RMIS can effectively eliminate the hand vibrations of surgeons and further reduce wounds and bleeding. However, suitable RMIS and virtual reality-based digital-twin surgery trainers are still in the early stages of development. Extensive training is required for surgeons to adapt to different operating modes compared to traditional MIS. A virtual-reality-based digital-twin robotic minimally invasive surgery (VRDT-RMIS) simulator was developed in this study, and its effectiveness was introduced. Twenty-five volunteers were divided into two groups for the experiment, the Expert Group and the Novice Group. The use of the VRDT-RMIS simulator for face, content, and structural validation training, including the peg transfer module and the soft tissue cutting module, was evaluated. Through subjective and objective evaluations, the potential roles of vision and haptics in robot surgery training were explored. The simulator can effectively distinguish surgical skill proficiency between experts and novices.

Indexed as

digital twinentropyremote center of motionrobotic minimally invasive surgerytraining simulatorvirtual reality

Identifiers

PMID38002426
PMCPMC10669730

What OpenQuestion holds

Textmetadata
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.