人工智能应用在医学中的信任和接受:混合方法研究研究
Daria Shevtsova1,2, Anam Ahmed1, Iris W A Boot1
1Panaxea bv, Den Bosch, Netherlands.
JMIR human factors
|January 17, 2024
概括
利益相关者发现人类,技术和道德因素对于相信人工智能 (AI) 在医学方面至关重要. 患者人口统计数据显示相关性较低,指导AI实施策略.
科学领域:
- 医学技术 医学技术 医学技术
- 人工智能的人工智能是人工智能.
- 医疗保健创新 医疗保健创新
背景情况:
- 人工智能 (AI) 越来越多地融入医学,提供了机遇和挑战.
- 确保对人工智能技术的信任和接受对于它们在医疗保健中的广泛采用至关重要.
- 挑战包括数据隐私,问责制,公平和公平,这可能会阻碍人工智能实施.
研究的目的:
- 确定影响AI在医学中的信任和接受因素.
- 评估这些因素对关键利益相关者的相关性.
主要方法:
- 一个混合方法设计,结合了快速文献审查和电子调查.
- 快速审查确定了与人工智能信任和接受相关的因素.
- 一项调查评估了22个利益相关者的19个综合因素的相关性.
主要成果:
- 快速审查确定了许多因素,整合到人类,技术,道德/法律和其他类别的19个总体因素.
- 在19个因素中,有16个 (84%) 被认为与利益相关者对人工智能的信任和接受非常相关.
- 发现患者人口统计学 (性别,年龄,教育) 的相关性较低 (16%).
结论:
- 了解利益相关者识别的因素是实施医疗AI应用的关键.
- 这些见解可以为提高医疗保健专业人员和患者对人工智能技术的信任和接受的战略提供信息.
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