在临终关怀和息治疗中探索人工智能:对技术和临床方法的综合性审查
Tuzhen Xu1, Caiyi Liu1, Lin Li2
1College of Nursing, Prairie View A&M University, Houston, Texas, USA.
Journal of palliative medicine
|February 4, 2026
概括
人工智能 (AI) 可以通过帮助预后和症状管理来改善息和临终关怀. 成功的整合需要解决伦理问题和临床医生信任,以获得更好的以患者为中心的结果.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 正在用先进的诊断算法,患者结果和行政效率来彻底改变医疗保健.
- 尽管人工智能的影响很大,但它在息和临终关怀方面的应用仍然未被充分探索.
研究的目的:
- 在息和宿舍护理中对人工智能应用进行全面审查.
- 检查AI在这个专业领域的技术进步和临床益处.
- 为未来的研究方向和实际临床实施提供见解.
主要方法:
- 进行了综合性文献综述,遵循惠特莫尔和Knafl的框架.
- 对2010年至2024年间发表的研究进行了对11个主要数据库的系统搜索.
- 包括的研究使用混合方法评估工具进行了质量评估.
主要成果:
- 70项研究 (2018-2024) 揭示了人工智能在死亡率预测,症状监测和护理规划方面的实用性.
- 人工智能工具已经从基本模型演变为使用多式联络数据进行个性化预测的复杂系统.
- 关键的挑战包括数据限制,概括性问题,伦理问题和临床工作流集成.
结论:
- 人工智能展示了通过改善预后和症状管理来增强以患者为中心的息和临终关怀的巨大潜力.
- 有效的整合需要解决临床医生的信任,工作流的调整,公平和道德方面的考虑.
- 未来的研究应该优先考虑多中心验证,多样化的数据集和无的临床集成,以最大限度地提高人工智能的影响.
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