[Orthopaedics of the future : AI meets motion analysis: opportunities and risks].

IF 0.5
Falko Heitzer, Dominik Raab, Wojciech Kowalczyk, Marcus Jäger
{"title":"[Orthopaedics of the future : AI meets motion analysis: opportunities and risks].","authors":"Falko Heitzer, Dominik Raab, Wojciech Kowalczyk, Marcus Jäger","doi":"10.1007/s00132-025-04708-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>With the progress of digitalization and the rapid development of portable measurement systems, the integration of new technologies into clinical practice is inevitable. Considering the demographic change, the current healthcare system needs exactly this integration to appropriately address the growing challenges. Regarding orthopaedic patient care, the objective analysis of the musculoskeletal system represents an increasingly important aspect. Innovative key technologies are necessary to handle the amount of instrumental data and create new opportunities. While an enormous increase in efficiency, effectiveness and quality of care can be realized, potential risks from the application of artificial intelligence (AI) need to be considered.</p><p><strong>Methods: </strong>Based on a literature review using the PRISMA-method, specific opportunities for clinical integration are identified and potential risks are discussed.</p><p><strong>Results: </strong>A total of 188 publications were included, of which 54 were analyzed in detail.</p><p><strong>Conclusion: </strong>While the application of AI methods for the use of objective measurement systems opens a variety of opportunities in orthopaedic patient care, it is also associated with relevant risks. In order to address specific problems and achieve the primary goal of optimized healthcare, the appropriate use and the proper integration of AI methods are essential. It must be acknowledged that artificial intelligence can only play a supporting role, with transparency being the main criterion for trustworthy use in the healthcare sector.</p>","PeriodicalId":74375,"journal":{"name":"Orthopadie (Heidelberg, Germany)","volume":" ","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Orthopadie (Heidelberg, Germany)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00132-025-04708-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: With the progress of digitalization and the rapid development of portable measurement systems, the integration of new technologies into clinical practice is inevitable. Considering the demographic change, the current healthcare system needs exactly this integration to appropriately address the growing challenges. Regarding orthopaedic patient care, the objective analysis of the musculoskeletal system represents an increasingly important aspect. Innovative key technologies are necessary to handle the amount of instrumental data and create new opportunities. While an enormous increase in efficiency, effectiveness and quality of care can be realized, potential risks from the application of artificial intelligence (AI) need to be considered.

Methods: Based on a literature review using the PRISMA-method, specific opportunities for clinical integration are identified and potential risks are discussed.

Results: A total of 188 publications were included, of which 54 were analyzed in detail.

Conclusion: While the application of AI methods for the use of objective measurement systems opens a variety of opportunities in orthopaedic patient care, it is also associated with relevant risks. In order to address specific problems and achieve the primary goal of optimized healthcare, the appropriate use and the proper integration of AI methods are essential. It must be acknowledged that artificial intelligence can only play a supporting role, with transparency being the main criterion for trustworthy use in the healthcare sector.

[未来的骨科:人工智能与运动分析:机遇与风险]。
背景:随着数字化的进步和便携式测量系统的快速发展,新技术融入临床是必然的。考虑到人口结构的变化,当前的医疗保健系统需要这种整合,以适当地应对日益增长的挑战。对于骨科病人的护理,对肌肉骨骼系统的客观分析是一个越来越重要的方面。创新的关键技术对于处理大量的仪器数据和创造新的机会是必要的。虽然可以实现效率,有效性和护理质量的巨大提高,但需要考虑人工智能(AI)应用的潜在风险。方法:在文献综述的基础上,使用prisma方法识别临床整合的具体机会,并讨论潜在风险。结果:共纳入188篇文献,对其中54篇文献进行了详细分析。结论:人工智能方法在应用客观测量系统的同时,为骨科患者护理提供了各种机会,同时也带来了相关风险。为了解决具体问题并实现优化医疗保健的主要目标,适当使用和适当集成人工智能方法至关重要。必须承认,人工智能只能发挥辅助作用,透明度是医疗保健部门可靠使用的主要标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信