Evidence map›Paper›PMID 39144738›Full record

ReviewNational science review2024

Advances of surgical robotics: image-guided classification and application.

Changsheng Li, Gongzi Zhang, Baoliang Zhao, Dongsheng Xie, Hailong Du, Xingguang Duan, Ying Hu, Lihai Zhang

Abstract readReview
In one paragraph

Review in National science review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. An Optical Tracking-Based Robot-Assisted System for Spinal Fixation Rod Bending.The international journal of medical robotics + computer assisted surgery : MRCAS · 2026
    Article
  2. Review
  3. [Application of Domestic Robotic Surgical Systems in Gynecologic Surgery].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Review
  4. Article
  5. Review
  6. 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

8 authors.

Changsheng LiSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Gongzi ZhangDepartment of Orthopedics, Chinese PLA General Hospital, Beijing 100141, China.
Baoliang ZhaoShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Dongsheng XieSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Hailong DuDepartment of Orthopedics, Chinese PLA General Hospital, Beijing 100141, China.
Xingguang DuanSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Ying HuShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Lihai ZhangDepartment of Orthopedics, Chinese PLA General Hospital, Beijing 100141, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical robotics application in the field of minimally invasive surgery has developed rapidly and has been attracting increasingly more research attention in recent years. A common consensus has been reached that surgical procedures are to become less traumatic and with the implementation of more intelligence and higher autonomy, which is a serious challenge faced by the environmental sensing capabilities of robotic systems. One of the main sources of environmental information for robots are images, which are the basis of robot vision. In this review article, we divide clinical image into direct and indirect based on the object of information acquisition, and into continuous, intermittent continuous, and discontinuous according to the target-tracking frequency. The characteristics and applications of the existing surgical robots in each category are introduced based on these two dimensions. Our purpose in conducting this review was to analyze, summarize, and discuss the current evidence on the general rules on the application of image technologies for medical purposes. Our analysis gives insight and provides guidance conducive to the development of more advanced surgical robotics systems in the future.

Indexed as

medical image processingmedical roboticsrobot-assisted surgerysurgical robotics

Identifiers

PMID39144738
PMCPMC11321255

What OpenQuestion holds

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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.