{"title":"人工智能在骨科中的兴起：文献计量学和可视化分析。","authors":"Shenghui Wu, Yu Miao, Jiong Mei, Shengren Xiong","doi":"10.2147/JMDH.S536633","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To investigate the progress and status of the application of artificial intelligence (AI) in orthopedics and highlight the current hot research areas.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"6037-6050"},"PeriodicalIF":2.4000,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12476196/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Rise of Artificial Intelligence in Orthopedics: A Bibliometric and Visualization Analysis.\",\"authors\":\"Shenghui Wu, Yu Miao, Jiong Mei, Shengren Xiong\",\"doi\":\"10.2147/JMDH.S536633\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To investigate the progress and status of the application of artificial intelligence (AI) in orthopedics and highlight the current hot research areas.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":16357,\"journal\":{\"name\":\"Journal of Multidisciplinary Healthcare\",\"volume\":\"18 \",\"pages\":\"6037-6050\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12476196/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Multidisciplinary Healthcare\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/JMDH.S536633\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Multidisciplinary Healthcare","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/JMDH.S536633","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
The Rise of Artificial Intelligence in Orthopedics: A Bibliometric and Visualization Analysis.
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.
期刊介绍：
The Journal of Multidisciplinary Healthcare (JMDH) aims to represent and publish research in healthcare areas delivered by practitioners of different disciplines. This includes studies and reviews conducted by multidisciplinary teams as well as research which evaluates or reports the results or conduct of such teams or healthcare processes in general. The journal covers a very wide range of areas and we welcome submissions from practitioners at all levels and from all over the world. Good healthcare is not bounded by person, place or time and the journal aims to reflect this. The JMDH is published as an open-access journal to allow this wide range of practical, patient relevant research to be immediately available to practitioners who can access and use it immediately upon publication.
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