关于采用人工智能支持心电图的临床前景
1Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA; Demoulas Center for Cardiac Arrhythmias, Cardiology Division, Massachusetts General Hospital, Boston, MA, USA; Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Journal of electrocardiology
|September 11, 2023
概括
人工智能 (AI) 可以分析12导电心电图 (ECG) 来检测疾病并预测未来的情况. 克服临床实施障碍需要专注于可信度,实用性和临床实用性,以便广泛采用支持AI的ECG.
科学领域:
- 心脏病学 心脏病学
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 12导电心电图 (ECG) 是一个广泛可用的诊断工具.
- 电脑心电图数据包含了与各种健康状况相关的重要信息.
- 人工智能 (AI) 算法在从心电图中提取潜在信息以进行疾病分类和预测方面表现有前途.
研究的目的:
- 解决AI-ECG算法开发和临床实践之间的差距.
- 识别和减轻对人工智能支持的ECG在现实世界实施的障碍.
- 为增加采用人工智能支持的ECG提出关键原则.
主要方法:
- 关于人工智能支持心电图分析的最近工作的小概述.
- 讨论的重点是三个核心原则:可信性,实用性和临床实用性.
- 为未来的研发方向提出建议.
主要成果:
- 人工智能算法可以从12导电心电图中提取有价值的潜在信息.
- 目前在常规临床实践中使用的基于AI的ECG算法很少.
- 要实现AI的潜力,需要解决临床实施的障碍.
结论:
- 人工智能支持的心电图分析有可能彻底改变疾病预防,诊断和治疗.
- 最大限度地提高可信度,优化实用性和建立临床实用性对于AI-ECG采用至关重要.
- 增加对现实世界应用的重视是必要的,以将AI的潜力转化为临床现实.
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