对人工智能的信任是一个"流动过程":通过临床医生的需求建立对人工智能的信任 乳房屏幕维多利亚计划-一项定性研究
Maho Omori1,2, Prabhathi Basnayake2, Helen M L Frazer1,2,3
1BreastScreen Victoria, Carlton South, VIC, Australia.
Qualitative health research
|July 3, 2025
概括
对医疗保健人工智能 (AI) 的信任是动态的,多层次的,受临床背景和临床医生的经验的影响. 了解这些因素对于在医疗保健环境中成功采用人工智能至关重要.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 医学中的人工智能
- 临床决策支持 临床决策支持
背景情况:
- 对医疗保健的信任人工智能对于其采用至关重要.
- 现有的文献强调了人工智能信任的多维性,但缺乏整合性框架.
- 了解临床医生对人工智能的信任动态对于医疗整合至关重要.
研究的目的:
- 探索临床医生对AI在乳腺查中的看法.
- 在复杂的临床环境中调查对AI信任的不断变化的性质.
- 识别影响临床医生对医疗保健信任的因素.
主要方法:
- 对焦小组和采访进行主题分析.
- 包括来自维多利亚州的27名临床医生,澳大利亚的BreastScreen计划.
- 利用了人工智能技术框架的信任和接受.
主要成果:
- 临床医生对医疗保健的信任人工智能是流动的,多层次的,并且取决于背景.
- 临床医生对人工智能表示乐观 (机会) 和怀疑 (不确定性).
- 影响信任的因素包括人工智能的表现,临床角色的不确定性,个人经验,组织障碍以及道德/法律/监管方面的考虑.
结论:
- 对人工智能的信任是一个动态的过程,而不是一个固定的属性.
- 它是由技术,人类和上下文因素塑造的.
- 这些发现对人工智能在医疗保健中的应用有实际意义,特别是在乳腺查方面.
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