Evidence map›Paper›PMID 40232554›Full record

ReviewJournal of robotic surgery2025

A bibliometric analysis of augmented reality and mixed reality applied in minimally invasive surgery.

Zhenxin Cai, Yina Zhou, Zheyu Wen, Luhao Li, Yuexiong Yi

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Zhenxin CaiDepartment of Gynecology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei Province, People's Republic of China.
Yina ZhouDepartment of Gynecology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei Province, People's Republic of China.
Zheyu WenDepartment of Gynecology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei Province, People's Republic of China.
Luhao LiThe Second Clinical College of Wuhan University, Wuhan, 430071, Hubei Province, People's Republic of China.
Yuexiong YiDepartment of Gynecology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei Province, People's Republic of China. yiyuexiong@163.com.

Funding

Natural Science Foundation of Hubei Province 2022CFB283Science and Technology Innovation Cultivation Funding of Zhongnan Hospital of Wuhan University CXPY2022049
6 · The paper itself

Abstract

Minimally invasive surgery (MIS) is integral to modern surgical practices, offering several advantages over traditional open surgery. The emergence of augmented reality (AR) and mixed reality (MR) technologies notably improved the surgical accuracy and safety of MIS. This study aims to conduct a comprehensive bibliometric analysis of AR and MR applications in MIS, identifying key trends and assessing the overall impact of these technologies on surgical practices. We systematically searched the WoSCC, PubMed, Scopus, and Embase for literature published between January 1, 1982, and August 14, 2024, using the keywords AR, MR and MIS. The search identified 5162 publications, of which 310 papers and reviews met the screening criteria. Bibliometric techniques were employed to analyze publication trends, country/region and institution participation, authorship, journal distribution, citation patterns and research hotspots. The annual publication rate has shown a steady upward trend since 2006, peaking at 50 publications in 2022. The United States, China and Germany were the leading countries. Top institutions included Johns Hopkins University and Imperial College London. The International Journal of Computer Assisted Radiology and Surgery had the highest publication count, while Surgical Endoscopy and Other Interventional Techniques received the most citations. Key research hotspots focused on spinal and liver surgeries, particularly in computer-assisted surgery and image-guided techniques, with advancements in integrating AR and MR with robotic systems, 3D printing, and machine learning. AR and MR technologies are increasingly used in MIS, especially in the enhancement of surgical navigation systems. This study provides insights for future research directions and practical applications in MIS.

Indexed as

Augmented RealityBibliometricsMinimally Invasive Surgical ProceduresRobotic Surgical ProceduresSurgery, Computer-AssistedHumansAugmented realityBibliometric studyMinimally invasive surgeryMixed reality

Identifiers

What OpenQuestion holds

Textmetadata
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.