基于人工智能的心电图分析工具在患有多变性心肌病的患者中进行评估
Gamze Babur Guler1, Arda Guler1, Ozgur Surgit1
1Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, Cardiology, Istanbul, Turkey.
European heart journal. Digital health
|March 2, 2026
概括
用于心电图 (ECG) 分析的人工智能 (AI) 工具在识别高压心肌病 (HCM) 患者的准确性有限. 在这些AI ECG工具在专业心脏病患者群体中广泛临床使用之前,需要进一步验证.
科学领域:
- 心脏病学 心脏病学
- 人工智能的人工智能
- 医学诊断 医学诊断 医学诊断
背景情况:
- 用于心电图 (ECG) 分析的人工智能 (AI) 工具对心脏病状况的检测显示出希望.
- 这些人工智能工具在特定的患者群体,如多变性心肌病 (HCM) 的性能尚未完全理解.
研究的目的:
- 评估三种基于人工智能的心电图分析工具在已确诊的HCM患者中的有效性.
- 评估AI工具来计算HCM概率,结构性心脏病 (SHD) 概率,并提供基于心电图的诊断.
主要方法:
- 来自681名HCM患者的数字化12导电心电图使用三个AI工具进行了分析.
- 评估AI计算的概率分布,临床参数关联,以及使用Cohen的kappa与手动诊断的一致性.
主要成果:
- 人工智能计算的HCM概率的中位数为38.8%,只有41.2%的患者得分超过50%.
- HCM概率与异常心电图和疾病严重程度标志物相关联.
- SHD的概率更高,中位数为51.4%,51.2%的患者得分高于50%.
结论:
- 人工智能心电图分析工具在HCM队列中表现适度.
- 将一般AI模型应用于特定疾病群体存在挑战.
- 在心脏病学临床实施之前,针对疾病的验证对AI工具至关重要.
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