用人工智能支持冠状动脉疾病治疗决策的感知潜力和挑战:定性研究
Khara Sauro1,2,3, Bishnu Bajgain3, Cody van Rassel4,5
1Department of Surgery, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
JMIR cardio
|February 6, 2026
概括
人工智能 (AI) 可以帮助复杂的冠状动脉疾病 (CAD) 治疗决策. 成功的AI工具必须优先考虑患者的偏好,数据隐私和无的临床工作流集成,以实现有效的采用.
科学领域:
- 心脏病学 心脏病学
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 冠状动脉疾病 (CAD) 治疗决策,特别是再血管化,是复杂的.
- 人工智能 (AI) 在临床决策中为数据驱动的见解提供了潜力.
- 人工智能可以支持CAD患者的护理点决策.
研究的目的:
- 了解利益相关者对CAD治疗决策支持中的AI的看法.
- 确定开发和实施用于CAD的AI工具的挑战和潜在好处.
- 为了收集关于在心脏病学中有效采用人工智能的见解.
主要方法:
- 世界咖啡馆的方法与不同的利益相关者 (心脏病学家,外科医生,患者,管理人员,行业).
- 对非参会者进行一对一的面试.
- 对关于重血管化挑战,人工智能集成和开发组件问题的答案进行主题分析.
主要成果:
- 出现了五个主要主题:基于证据的护理,工作负载/资源,数据要求,工具特性和临床工作流程的整合.
- 数据要求强调了以患者为中心,基于证据的AI和整合.
- 工具特性突出了用户友好性,透明度,数据隐私和系统逻辑.
结论:
- 基于人工智能的决策支持可以提高CAD治疗中的基于证据的护理.
- 解决最终用户的担忧 (患者偏好,隐私,可用性,集成) 对于人工智能的有效性至关重要.
- 人工智能工具必须透明,用户友好,并集成到临床工作流程中.
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