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
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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。
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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.
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