用人工智能驱动的预测工具来改善生命终端决策:迷你审查
Abdullah Alabbasi1,2, Muhanad Alzahrani3, Faris Sultan4
1Saudi Board in Family Medicine, The Joint Program of Family Medicine in Jeddah, Saudi Arabia Ministry of Health, Jeddah, Makkah Province, Saudi Arabia abdullah4108@gmail.com.
BMJ supportive & palliative care
|February 18, 2026
概括
人工智能 (AI) 工具通过改善死亡率预测和促进早期的息护理来增强终身护理. 虽然有希望,但需要进一步的研究和道德框架来实现安全的整合.
科学领域:
- 医疗信息学 医疗信息学
- 息护理研究 息护理研究
- 临床决策支持系统 临床决策支持系统
背景情况:
- 预后不确定性阻碍了及时的息护理和终身目标治疗.
- 人工智能 (AI) 工具提供结构化的死亡率预测,以帮助临床决策.
研究的目的:
- 审查基于人工智能的预后和决策支持工具在终身和息护理.
- 评估这些人工智能工具的预测准确性,实施,沟通和伦理方面.
主要方法:
- 对同行评审文章的叙事文献搜索 (2020-2025年).
- 包括专注于预后模型验证,预警系统,实施,沟通和道德分析的研究.
主要成果:
- 与传统方法相比,人工智能模型显示出优越的短期死亡率预测.
- 人工智能整合可能会增加患者的识别和息护理的启动,即使在一般医疗机构.
- 人工智能透明度,偏见和过度依赖存在担忧,对治疗强度影响的数据有限.
结论:
- 人工智能预后模型显示了改善风险识别和更早参与息护理的潜力.
- 目前的证据基础是初步的,需要未来的试验.
- 加强道德框架对于安全和公平的AI整合到终身护理中至关重要.
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