在常规医学成像中实施人工智能的促进者和障碍:系统审查和定性分析
Katharina Wenderott1, Jim Krups1, Matthias Weigl1
1Institute for Patient Safety, University Hospital Bonn, Bonn, Germany.
Journal of medical Internet research
|July 21, 2025
概括
在医学成像中实施人工智能 (AI) 需要了解促进者和障碍者. 一项系统性审查发现,需要采用更全面,以人为中心的方法,而不仅仅是技术性能.
科学领域:
- 医疗成像医学成像
- 医疗保健中的人工智能
- 临床工作流程整合.
背景情况:
- 人工智能 (AI) 在医疗保健中越来越多地被采用,特别是医学成像,有望提高效率.
- 然而,对成功将人工智能应用于临床工作流程的过程因素的系统证据有限.
研究的目的:
- 系统地评估和综合人工智能在常规医学成像中实施的促进者和障碍.
- 在不同实施阶段探索这些因素之间的关系.
主要方法:
- 对6个医学数据库进行系统审查,包括38项原始研究.
- 定性内容分析以提取促进者,障碍者,结果和主持者.
- 认识网络分析,探索跨人工智能实施阶段的关系.
主要成果:
- 确定了影响人工智能实施的12个关键维度和37个子主题.
- 20个主题充当了促进者和障碍者.
- 研究主要集中在绩效指标上,经常忽视临床医生的经验和结果.
结论:
- 在医学成像中成功实施人工智能需要对促进者和障碍物的彻底理解.
- 强调人工智能在临床护理和工作流集成中的实用性.
- 强调需要全面的报告和以人为本的方法,超越纯粹的技术考虑.
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