使用预测模型和人工智能用于AKI研究
Madhumitha Rajagopal1, Lili Chan2, Girish N Nadkarni3
1Samuel Bronfman Department of Medicine, The Barbara T Murphy Division of Nephrology Icahn School of Medicine at Mount Sinai, New York, NY.
Seminars in nephrology
|October 9, 2025
概括
人工智能 (AI) 有助于预测急性损伤 (AKI) 和使用电子健康记录的患者结果. 新的人工智能技术对AKI管理,风险分层和解决伦理考虑具有前景.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 急性损伤 (AKI) 是住院患者经常出现的并发症,与不良结果有关.
- 电子健康记录 (EHR) 已经使机器学习 (ML) 能够用于AKI预测的发展成为可能.
- 现有的ML模型可以预测AKI的发病率,严重程度,持续性和患者的结果.
研究的目的:
- 审查人工智能 (AI) 在 AKI 成年患者管理中的当前作用.
- 探索新兴AI技术的潜力,包括自然语言处理和生成AI,在AKI护理中.
- 讨论在AKI管理中与AI相关的局限性和伦理考虑.
主要方法:
- 在AKI预测和管理中对AI应用的文献综述.
- 分析使用电子健康记录的机器学习算法.
- 探索自然语言处理和生成AI用于AKI.
主要成果:
- 人工智能和ML算法可以预测AKI的发病率,严重程度和患者的死亡率等结果.
- 人工智能为AKI的早期临床管理提供了风险分层.
- 新兴的人工智能技术显示出增强AKI预测和管理策略的前景.
结论:
- 人工智能在改善住院成年人AKI的预测和管理方面具有显著的潜力.
- 进一步的研究和道德考虑对于AI在AKI护理中的负责任整合至关重要.
- 人工智能工具可以帮助临床医生对患者进行风险分层,并优化AKI的治疗途径.
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