心血管护理的人工智能在行动:从学习到卫生系统中的实施
Dhruva Biswas1, Phyllis Thangaraj2, Aline F Pedroso2
1Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, Connecticut, USA; School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, United Kingdom.
JACC. Advances
|December 5, 2025
概括
人工智能 (AI) 正在通过早期诊断和个性化治疗来彻底改变心血管保健. 虽然存在数据隐私和公平性等挑战,但人工智能集成承诺在连接的健康生态系统中不断学习,以改善患者的结果.
科学领域:
- 心血管医学 心血管医学
- 人工智能的人工智能
- 卫生系统科学 卫生系统科学
背景情况:
- 人工智能 (AI) 正在改变心血管保健.
- 人工智能通过数字双胞胎为早期诊断,临床决策和个性化治疗提供了新的方法.
- 人工智能在医疗保健系统中的整合旨在提高患者的治疗结果和护理效率.
研究的目的:
- 检查人工智能和学习医疗系统之间的协同作用,以持续改进心血管保健.
- 探索实施科学在评估临床工作流程中人工智能干预的作用.
- 为人工智能驱动的心血管健康系统提出一个愿景.
主要方法:
- 对心血管保健中最先进的人工智能应用的审查.
- 分析AI与学习健康系统的相互作用,以进行测量和反.
- 应用实施科学原则来评估人工智能的有效性和安全性.
主要成果:
- 人工智能通过潜伏签名检测和通过数字双胞胎进行个性化治疗来实现早期诊断.
- 人工智能集成可以改善不同人群的患者结果和护理交付效率.
- 挑战包括互操作性,数据隐私,算法公平性和工作流集成.
结论:
- 人工智能对于将心血管保健转变为连接,不断学习的生态系统至关重要.
- 使用实施科学对人工智能干预措施的强有力的评估对于安全有效的部署至关重要.
- 心血管健康的未来涉及人工智能增强,多式联络和以患者为中心的护理服务.
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