Artificial intelligence in diagnosing upper limb musculoskeletal disorders: a systematic review and meta-analysis of diagnostic tests.

IF 4.3 2区 医学 Q1 ORTHOPEDICS
Guillermo Droppelmann, Constanza Rodríguez, Carlos Jorquera, Felipe Feijoo
{"title":"Artificial intelligence in diagnosing upper limb musculoskeletal disorders: a systematic review and meta-analysis of diagnostic tests.","authors":"Guillermo Droppelmann, Constanza Rodríguez, Carlos Jorquera, Felipe Feijoo","doi":"10.1530/eor-23-0174","DOIUrl":null,"url":null,"abstract":"The integration of artificial intelligence (AI) in radiology has revolutionized diagnostics, optimizing precision and decision-making. Specifically in musculoskeletal imaging, AI tools can improve accuracy for upper extremity pathologies. This study aimed to assess the diagnostic performance of AI models in detecting musculoskeletal pathologies of the upper extremity using different imaging modalities.","PeriodicalId":48598,"journal":{"name":"Efort Open Reviews","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Efort Open Reviews","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1530/eor-23-0174","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0

Abstract

The integration of artificial intelligence (AI) in radiology has revolutionized diagnostics, optimizing precision and decision-making. Specifically in musculoskeletal imaging, AI tools can improve accuracy for upper extremity pathologies. This study aimed to assess the diagnostic performance of AI models in detecting musculoskeletal pathologies of the upper extremity using different imaging modalities.
人工智能诊断上肢肌肉骨骼疾病:诊断测试的系统回顾和荟萃分析。
人工智能(AI)与放射学的结合彻底改变了诊断方法,优化了精确度和决策。特别是在肌肉骨骼成像方面,人工智能工具可以提高上肢病变的准确性。本研究旨在评估人工智能模型在使用不同成像模式检测上肢肌肉骨骼病变方面的诊断性能。
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
Efort Open Reviews
Efort Open Reviews Medicine-Orthopedics and Sports Medicine
CiteScore
6.60
自引率
2.90%
发文量
101
审稿时长
13 weeks
期刊介绍: EFORT Open Reviews publishes high-quality instructional review articles across the whole field of orthopaedics and traumatology. Commissioned, peer-reviewed articles from international experts summarize current knowledge and practice in orthopaedics, with the aim of providing systematic coverage of the field. All articles undergo rigorous scientific editing to ensure the highest standards of accuracy and clarity. This continuously published online journal is fully open access and will provide integrated CME. It is an authoritative resource for educating trainees and supports practising orthopaedic surgeons in keeping informed about the latest clinical and scientific advances. One print issue containing a selection of papers from the journal will be published each year to coincide with the EFORT Annual Congress. EFORT Open Reviews is the official journal of the European Federation of National Associations of Orthopaedics and Traumatology (EFORT) and is published in partnership with The British Editorial Society of Bone & Joint Surgery.
×
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:481959085
Book学术官方微信