床边的人工智能用于预防,检测和管理急性损伤
Benjamin Shickel1,2, Tezcan Ozrazgat-Baslanti1,2, Azra Bihorac1,2
1Division of Nephrology, Hypertension, and Renal Transplantation, Department of Medicine, College of Medicine.
Current opinion in nephrology and hypertension
|September 8, 2025
概括
人工智能 (AI) 在预测急性损伤 (AKI) 结果方面表现有前途,许多模型表现出强的表现. 然而,需要进行前性验证,以澄清AI对AKI在床边的实际临床影响.
科学领域:
- 医疗信息学 医疗信息学
- 临床决策支持 临床决策支持
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 正在迅速发展,为预防,检测和管理急性损伤 (AKI) 的临床挑战提供了潜在的解决方案.
- 目前的研究重点是利用人工智能在护理点改善AKI决策.
研究的目的:
- 审查人工智能在急性损伤 (AKI) 决策中的现状.
- 突出人工智能的最新发展,趋势和创新,以在AKI中实现现实世界的临床应用.
主要方法:
- 关于AI模型用于AKI预测和决策支持的最新研究的审查.
- 对人工智能模型的外部验证,可解释性和可传输性的分析.
- 探索新兴的人工智能技术,如强化学习和因果推理.
主要成果:
- 用于AKI预测的监督AI模型在各种设置中的外部验证中显示出强的性能.
- 优先考虑可解释性和可传输性导致模型使用更少的EHR变量和基于树的分类器.
- 使用强化学习和因果推理的新人工智能应用正在涌现出来,用于床边AKI支持.
结论:
- 虽然对AKI进行外部验证的AI模型是一致的,但未来的验证是有限的.
- 人工智能系统对AKI在床边的实际临床影响需要进一步调查.
- 未来的研究应该集中在先进的人工智能技术和实施研究上,以评估临床适用性.
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