人工智能的临床实践整合 (CPI-AI) 框架
Luke Farrow1,2, Dominic Meek3, Georgios Leontidis1
1Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
一个新的框架指导了人工智能 (AI) 在创伤和骨科的临床采用. 人工智能临床实践整合 (CPI-AI) 框架旨在弥合人工智能开发和现实世界临床实践之间的差距.
科学领域:
- 整形外科手术 整形外科手术
- 人工智能的人工智能
- 临床实施科学 临床实施科学
背景情况:
- 许多人工智能 (AI) 算法存在于创伤和骨科应用中.
- 临床采用的一个重大障碍是,从人工智能开发到实际使用,缺乏明确的途径.
- 这种差距阻碍了人工智能创新的转化为常规患者护理.
研究的目的:
- 引入一个结构化的框架,将人工智能纳入创伤和骨科的临床实践.
- 为开发和部署人工智能工具在这个专业领域提供一个明确的途径.
- 增强信任并促进临床团队采用AI.
主要方法:
- 人工智能 (CPI-AI) 整合临床实践框架的开发.
- 该框架是基于IDEAL原则的五阶段方法.
- 旨在指导人工智能采用,特别是在创伤和骨科设置.
主要成果:
- 该CPI-AI框架提供了一个系统的方法,用于AI集成.
- 它解决了部署人工智能算法所面临的挑战,这些算法可能未被临床医生完全理解.
- 促进基于证据的方法,以建立对人工智能应用程序的信任.
结论:
- 该CPI-AI框架为创伤和骨科的AI采用提供了一个强大的途径.
- 坚持框架可以培养信任,并促进AI的临床使用.
- 这种结构化的方法对于实现人工智能在骨科患者护理中的潜力至关重要.
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