The Clinical Practice Integration of Artificial Intelligence (CPI-AI) framework.

IF 4.7 2区 医学 Q2 CELL & TISSUE ENGINEERING
Luke Farrow,Dominic Meek,Georgios Leontidis,Marion Campbell,Ewen Harrison,Lesley Anderson
{"title":"The Clinical Practice Integration of Artificial Intelligence (CPI-AI) framework.","authors":"Luke Farrow,Dominic Meek,Georgios Leontidis,Marion Campbell,Ewen Harrison,Lesley Anderson","doi":"10.1302/2046-3758.139.bjr-2024-0135.r1","DOIUrl":null,"url":null,"abstract":"Despite the vast quantities of published artificial intelligence (AI) algorithms that target trauma and orthopaedic applications, very few progress to inform clinical practice. One key reason for this is the lack of a clear pathway from development to deployment. In order to assist with this process, we have developed the Clinical Practice Integration of Artificial Intelligence (CPI-AI) framework - a five-stage approach to the clinical practice adoption of AI in the setting of trauma and orthopaedics, based on the IDEAL principles (https://www.ideal-collaboration.net/). Adherence to the framework would provide a robust evidence-based mechanism for developing trust in AI applications, where the underlying algorithms are unlikely to be fully understood by clinical teams.","PeriodicalId":9074,"journal":{"name":"Bone & Joint Research","volume":null,"pages":null},"PeriodicalIF":4.7000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bone & Joint Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1302/2046-3758.139.bjr-2024-0135.r1","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CELL & TISSUE ENGINEERING","Score":null,"Total":0}
引用次数: 0

Abstract

Despite the vast quantities of published artificial intelligence (AI) algorithms that target trauma and orthopaedic applications, very few progress to inform clinical practice. One key reason for this is the lack of a clear pathway from development to deployment. In order to assist with this process, we have developed the Clinical Practice Integration of Artificial Intelligence (CPI-AI) framework - a five-stage approach to the clinical practice adoption of AI in the setting of trauma and orthopaedics, based on the IDEAL principles (https://www.ideal-collaboration.net/). Adherence to the framework would provide a robust evidence-based mechanism for developing trust in AI applications, where the underlying algorithms are unlikely to be fully understood by clinical teams.
人工智能临床实践整合(CPI-AI)框架。
尽管针对创伤和骨科应用发布了大量人工智能(AI)算法,但能为临床实践提供参考的算法却寥寥无几。其中一个关键原因是缺乏从开发到部署的清晰路径。为了协助完成这一过程,我们开发了人工智能临床实践整合(CPI-AI)框架--基于 IDEAL 原则(https://www.ideal-collaboration.net/),在创伤和骨科临床实践中采用人工智能的五阶段方法。遵守该框架将为建立对人工智能应用的信任提供一个强有力的循证机制,因为临床团队不太可能完全理解其底层算法。
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
Bone & Joint Research
Bone & Joint Research CELL & TISSUE ENGINEERING-ORTHOPEDICS
CiteScore
7.40
自引率
23.90%
发文量
156
审稿时长
12 weeks
期刊介绍: The gold open access journal for the musculoskeletal sciences. Included in PubMed and available in PubMed Central.
×
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