人工智能辅助的决策对于最终阶段的器官衰竭:机遇和道德问题
John W Haller1, Olga D Brazhnik1, Kathleen N Fenton1
1Advanced Technologies and Surgery Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health (NIH), Bethesda, Maryland, USA.
Artificial organs
|November 17, 2025
概括
人工智能 (AI) 可以通过改善风险分层和结果预测来增强器官衰竭患者的临床决策. 成功的整合需要多学科合作和道德考虑,以获得公平,以患者为中心的护理.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床决策支持 临床决策支持
背景情况:
- 末期器官衰竭呈现复杂的治疗选择,包括医疗管理,移植,机械支持和息治疗.
- 当前的医疗保健实践需要强大的数据分析,以告知患者护理途径.
研究的目的:
- 讨论人工智能 (AI) 在指导末期器官衰竭患者的临床决策中的当前应用.
- 概述AI在风险分层,患者选择和结果预测方面的潜力,特别是在移植方面.
- 解决对数据标准化,算法验证和AI实施的伦理考虑的需求.
主要方法:
- 分析来自电子健康记录,成像和患者报告结果的大型数据集.
- 对人工智能在器官衰竭的医疗保健决策中的应用进行审查.
- 检查在临床环境中对AI的伦理考虑和患者观点.
主要成果:
- 人工智能可以预测长期生存和生活质量,有助于修改治疗策略.
- 人工智能有助于"调整"治疗建议与患者价值观,促进以患者为中心的结果.
- 标准化数据,严格的验证和透明的算法对于减轻偏见和确保公平护理至关重要.
结论:
- 成功地将人工智能整合到器官衰竭护理中,需要多学科的合作,利益相关者的参与以及用户友好的设计.
- 人工智能可以作为一个实际的决策支持工具,补充临床专业知识和共享决策.
- 解决与数据隐私,公平访问和人类因素相关的伦理问题对于患者的信任和最佳结果至关重要.
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