使用智能手表的人工智能启用心房动检测:当前状态和未来前景.
Zoi Papalamprakopoulou1, Dimitrios Stavropoulos2, Serafeim Moustakidis3
1Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, University at Buffalo School of Medicine and Biomedical Sciences, Buffalo, NY, United States.
Frontiers in cardiovascular medicine
|July 30, 2024
概括
带有人工智能 (AI) 算法的智能手表为早期动 (AF) 检测提供了一个有希望的,具有成本效益的工具. 这篇评论探讨了AI智能手表的功能,临床价值和中风预防的未来前景.
科学领域:
- 心脏病学 心脏病学
- 数字健康数字健康
- 人工智能的人工智能
背景情况:
- 心房动 (AF) 具有严重的中风和心力衰竭风险.
- AF通常是无症状和间歇性的,使诊断和及时干预复杂化.
- 早期检测对于预防中风和管理心脏并发症至关重要.
研究的目的:
- 审查用于AF检测的人工智能智能手表算法的特征和诊断性能.
- 评估当前智能手表技术在AF查中的临床实用性和局限性.
- 讨论人工智能智能手表在不断变化的医疗保健领域的未来作用.
主要方法:
- 关于用于AF检测的人工智能智能手表算法的当前文献的综述.
- 对FDA批准的商业智能手表及其AF检测能力的分析.
- 讨论诊断性能指标和临床价值评估.
主要成果:
- 支持人工智能的智能手表越来越多地用于AF检测,提供潜在的成本效益和易用性.
- 这些设备已经获得了监管许可,表明越来越多的接受.
- 不断发展的技术为临床整合带来了机会和挑战.
结论:
- 由人工智能驱动的智能手表在早期检测心房动方面取得了重大进展.
- 临床医生必须了解这些工具,以便有效地将其整合到患者护理策略中.
- 需要进一步的研究,以充分确定长期的临床影响,并优化其在中风预防中的使用.
关键词:
人工智能的人工智能是人工智能.心房动是心房动的一种.机器学习是机器学习.摄影复合声学 (photoplethysmography) 是一种摄影仪.单导电心电图 (单导电心电图) 是一种单导电心电图.智能手表的智能手表更多相关视频
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