病和透析中的人工智能:从数据挖掘到临床影响
Luca Neri1, Hanjie Zhang, Len A Usvyat
1Renal Research Institute, New York, New York, USA.
Current opinion in nephrology and hypertension
|November 10, 2025
概括
人工智能 (AI) 在病治疗方面提供了显著的前景,改善了结果并降低了成本. 然而,人工智能在科的广泛采用需要信任,验证和无集成到临床工作流程中.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 人工智能 (AI) 和机器学习 (ML) 正在改变医疗保健.
- 人工智能和ML在脏病和透析中的应用目前有限.
- 人工智能为改善病管理和患者护理提供了机会.
研究的目的:
- 审查人工智能在科和病中的关键应用.
- 突出AI在改善临床结果和降低成本方面的潜力.
- 确定在科中采用人工智能的障碍和促进因素.
主要方法:
- 关于人工智能在科应用的文献综述.
- 分析表明AI的预测准确性和临床见解的研究.
- 检查人工智能模型,如贫血控制模型 (ACM).
主要成果:
- 人工智能应用包括预后建模,成像,个性化贫血和流体管理,患者参与和研究加速.
- 研究表明,人工智能可以提高预测准确度,并提供临床见解.
- 像ACM这样的AI工具可以同时改善临床结果并降低成本.
结论:
- 人工智能对个性化护理和脏病学方面的成本降低有希望.
- 广泛采用需要严格的验证,工作流集成,监管部门的批准和临床医生的信任.
- 未来的机遇包括数字双胞胎,大型语言模型和多组合集成,以提高患者的结果和系统性能.
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