已发表论文

骨科领域人工智能的兴起:文献计量与可视化分析

 

Authors Wu S, Miao Y, Mei J , Xiong S

Received 25 April 2025

Accepted for publication 2 September 2025

Published 23 September 2025 Volume 2025:18 Pages 6037—6050

DOI https://doi.org/10.2147/JMDH.S536633

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Dr Jagdish Khubchandani

Shenghui Wu,1,* Yu Miao,2,* Jiong Mei,2 Shengren Xiong1 

1Department of Orthopedic Surgery, Fujian Medical University Union Hospital, Fujian, People’s Republic of China; 2Department of Orthopaedic Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Shenghui Wu, Email wushenghui@fjmu.edu.cn Shengren Xiong, Email xsrenzj@163.com

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.
Plain Language Summary: AI research in orthopedics is steadily increasing, with focus areas like AI-based diagnostics, ChatGPT, and 3D printing. These tools are helping improve diagnosis, treatment planning, and surgical outcomes.

Keywords: artificial intelligence, orthopedics, bibliometric analysis, visualization