通过人工智能转变科:临床整合的最先进路线图
Wisit Cheungpasitporn1, Ambarish Athavale2, Lama Ghazi3
1Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
Clinical kidney journal
|February 18, 2026
概括
人工智能 (AI) 正在改变脏学,以更早地检测脏疾病和个性化护理. 人工智能工具正在推进急性损伤 (AKI),慢性病 (CKD),透析和移植,面临实施挑战.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI),包括机器学习,深度学习和生成AI,将彻底改变病护理.
- 人工智能为早期检测,精确的风险分层和综合临床决策支持提供了潜力.
研究的目的:
- 审查脏疾病范围内的新兴AI应用:急性损伤 (AKI),慢性病 (CKD),透析和移植.
- 检查临床整合,现实世界的验证,工作流的实施,以及人工智能在科的翻译挑战.
主要方法:
- 对人工智能在科应用方面的最先进研究进行综合.
- 分析AI在AKI,CKD,透析和移植中的作用,考虑实施因素.
主要成果:
- 人工智能在AKI预测,CKD风险分层,优化透析和增强移植过程方面表现有前途.
- 生成型人工智能和大型语言模型为记录和患者教育提供了新的途径.
- 有验证的AI工具正在出现,但数据异质性,偏见,可解释性和监管障碍等挑战仍然存在.
结论:
- 人工智能在科的整合需要解决实施挑战和不断变化的监管框架.
- 多模式数据集成和适应性AI范式将推动精密脏病学.
- 临床医生的参与对于开发,验证和部署人工智能至关重要,以确保护理的个性化,高效和公平的未来.
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