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中华医学超声杂志(电子版) ›› 2024, Vol. 21 ›› Issue (02) : 170 -174. doi: 10.3877/cma.j.issn.1672-6448.2024.02.011

综述

人工智能在超声诊断冠心病中的应用现状
谢圆圆1, 李冬梅2, 毛鑫乐2, 邓燕2,()   
  1. 1. 610500 成都医学院
    2. 610072 电子科技大学附属医院•四川省人民医院心血管超声及心功能科 超声心脏电生理学与生物力学四川省重点实验室
  • 收稿日期:2023-09-03 出版日期:2024-02-01
  • 通信作者: 邓燕
  • 基金资助:
    四川省自然科学基金(2023NSFSC0038)

Application of artificial intelligence in ultrasonic diagnosis of coronary heart disease

Yuanyuan Xie, Dongmei Li, Xinle Mao   

  • Received:2023-09-03 Published:2024-02-01
引用本文:

谢圆圆, 李冬梅, 毛鑫乐, 邓燕. 人工智能在超声诊断冠心病中的应用现状[J]. 中华医学超声杂志(电子版), 2024, 21(02): 170-174.

Yuanyuan Xie, Dongmei Li, Xinle Mao. Application of artificial intelligence in ultrasonic diagnosis of coronary heart disease[J]. Chinese Journal of Medical Ultrasound (Electronic Edition), 2024, 21(02): 170-174.

冠状动脉粥样硬化性心脏病简称冠心病,占我国心脏病患者总数的50%以上。冠心病可导致心肌缺血、坏死以及心力衰竭,是死亡率最高的疾病之一,并呈现年轻化趋势。因此,对冠心病的早期诊断、药物或介入治疗的疗效评价显得尤为重要。近年来,超声影像技术的研发及仪器的不断升级为冠心病的评价提供了有效的工具,然而超声心动图的学习曲线通常较长,且超声检查存在不可避免的局限性,如操作者经验依赖性强,观察者间及观察者内诊断结果差异性大等。

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