人工智能和高血压的先进数字健康:为精确的心血管护理提供不断发展的工具
Ioannis Skalidis1,2, Niccolo Maurizi3, Adil Salihu3
1Institut Cardiovasculaire Paris-Sud, Hôpital Jacques Cartier, Ramsay-Santé, 91300 Massy, France.
Medicina (Kaunas, Lithuania)
|September 27, 2025
概括
人工智能 (AI) 和数字健康工具显示出通过远程监测和人工智能引导的治疗调整来改善高血压管理的前景. 需要进一步的研究来解决公平,偏见和隐私方面的担忧,以便广泛采用.
科学领域:
- 心血管医学 心血管医学
- 数字健康数字健康
- 人工智能的人工智能
背景情况:
- 高血压是导致心血管疾病的全球主要危险因素,目前的治疗方法往往不理想.
- 数字健康和人工智能为高血压诊断,监测和个性化治疗提供了创新的解决方案.
- 尽管采用了指导方针导向的疗法,但控制率仍然低于最佳水平,这凸显了需要先进的管理策略的必要性.
研究的目的:
- 审查用于高血压管理的支持人工智能的数字工具.
- 探索新兴应用,实施挑战和人工智能对高血压的未来方向.
- 批判性地评估当前数字健康技术在高血压护理中的现状.
主要方法:
- 从2019-2024年对PubMed索引的研究进行叙述性审查.
- 专注于临床应用,现实世界的部署,算法可解释性,数字生物标志物和伦理/监管框架.
- 优先考虑高质量的随机试验,系统审查和专家共识陈述.
主要成果:
- 人工智能平台在通过远程监控和机器学习定位算法来改善高血压控制方面表现有前途.
- 可解释AI (XAI) 对临床医生的信任和融入决策至关重要.
- 以公平为重点的设计和监管监督对于防止健康差异至关重要;联合学习和共同设计可以提高可扩展性.
结论:
- 人工智能引导的定位和数字双胞胎显示出降低治疗惯性潜力.
- 无袖式血压监测是目前最不成熟的技术.
- 未来的研究应侧重于具有公平性和成本效益终点的实用性试验,以及对偏见和隐私风险的保障措施.
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