关于人工智能采用的跨国研究:临床实施者的观点
Luis Marco-Ruiz1, Miguel Ángel Tejedor Hernández1, Phuong Dinh Ngo1
1Norwegian Centre for E-Health Research, University Hospital of North Norway, Tromsø, Norway.
International journal of medical informatics
|February 20, 2024
概括
实施人工智能 (AI) 在医疗保健中需要的不仅仅是研究;它需要临床验证,从业人员的参与,以及更好的数据管理. 解决这些因素是成功在临床环境中采用人工智能的关键.
科学领域:
- 医疗保健人工智能的人工智能
- 临床实施 临床实施
- 医疗信息学 医疗信息学
背景情况:
- 尽管人工智能在医疗保健领域取得了进展,但许多系统未能从研究过渡到临床实践.
- 人工智能投资通常在原型阶段停滞不前,阻碍了现实世界的应用.
研究的目的:
- 确定临床AI实施的挑战和成功因素.
- 收集人工智能实施者的见解,以提高未来的采用率.
主要方法:
- 对37个临床人工智能实施者的半结构面试进行了定性分析.
- 用于分析挑战,成功因素和人工智能采用建议的框架方法.
主要成果:
- 临床验证优先于AI可解释性.
- 临床从业人员的参与和改进的数据管理结构至关重要.
- 加强监管支持,提高人工智能素养,以及更好的资金计划是人工智能实施所需的.
结论:
- 人工智能对临床环境具有前景,但成功转移需要进行监管,程序,教育和财务调整.
- 有效实施人工智能需要采用多方面的方法,包括验证,利益相关者参与和基础设施.
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