Evidence map›Paper›PMID 41019150›Full record

ArticleJournal of multidisciplinary healthcare2025

The Rise of Artificial Intelligence in Orthopedics: A Bibliometric and Visualization Analysis.

Shenghui Wu, Yu Miao, Jiong Mei, Shengren Xiong

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Shenghui Wu *Department of Orthopedic Surgery, Fujian Medical University Union Hospital, Fujian, People's Republic of China.
Yu Miao *Department of Orthopaedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Jiong MeiDepartment of Orthopaedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.ORCID 0000-0003-2290-3238
Shengren XiongDepartment of Orthopedic Surgery, Fujian Medical University Union Hospital, Fujian, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the progress and status of the application of artificial intelligence (AI) in orthopedics and highlight the current hot research areas. Methods: A comprehensive literature search was conducted in the PubMed database, covering the period from 2010 to 2024. The R software (version 4.2.0) was used for the bibliometric analysis. Results: A total of 112 articles related to AI and orthopedics have been published, demonstrating a consistent upward trend in research output. Hot keywords, such as "machine learning", "deep learning", "ChatGPT", "3D printing", and "arthroplasty", were frequent occurring terms. While most countries engaged in extensive collaborative networks, the frequency of these partnerships remained relatively limited. Conclusion: The influence of AI in the field of orthopedics has been growing. This impact may signify the historic onset of the AI era in orthopedics, with milestones being set along the path from precision diagnostics to targeted treatments.

Indexed as

artificial intelligencebibliometric analysisorthopedicsvisualization

Identifiers

PMID41019150
PMCPMC12476196

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.