人工智能在基于运动的心血管健康干预中的作用:一个范围审查
Asterios Deligiannis1, Panagiota Sotiriou1, Pantazis Deligiannis2
1Sport Medicine Laboratory, School of Physical Education and Sport Science, Aristotle University, 57001 Thessaloniki, Greece.
Journal of functional morphology and kinesiology
|October 24, 2025
概括
人工智能 (AI) 通过个性化炼和提高坚持来增强心血管康复的承诺. 然而,需要更多的大规模试验来确认其有效性并确保公平实施.
科学领域:
- 心血管医学 心血管医学
- 人工智能的人工智能
- 康复科学 康复科学 康复科学
背景情况:
- 心血管医学正在迅速发展,对人工智能 (AI) 应用越来越感兴趣.
- 虽然人工智能已经在诊断和风险预测方面得到了建立,但它在基于运动的心血管康复中正在出现.
- 这种有限的应用代表了一个新的和有前途的研究领域.
研究的目的:
- 进行范围审查,确定和分析应用人工智能的研究,以对心血管结果进行干预.
- 综合人工智能方法,炼方式和报告的心血管结果的发现.
主要方法:
- 搜索了主要的数据库 (PubMed,Scopus,科学网,Embase,IEEE Xplore) 从2015年1月到2025年8月进行原始研究.
- 包括使用人工智能 (机器学习,深度学习) 进行运动交付,适应或监测心血管病患者的同行评审研究.
- 不包括审查,仅用于诊断的研究,没有数据的协议和动物研究.
主要成果:
- 九项研究符合纳入标准,包括可行性试点,随机对照试验 (RCT) 和验证研究.
- 人工智能应用包括适应性目标,强化学习,辅导应用,基于机器学习的处方和持续监测 (例如,VO2估计).
- 报告的结果包括降低血压,改善坚持,增加体力活动,增强VO2max和生理监测.
结论:
- 人工智能具有显著的潜力,可以通过个性化的炼和改进的坚持来增强心血管康复.
- 人工智能可以促进安全的家庭监控,但目前的证据基础是初步的,方法异质.
- 未来的研究应该专注于大规模的RCT,可解释的AI,以及对临床翻译的公平实施.
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