上海交通大学学报（医学版）

上海交通大学学报（医学版） ›› 2020, Vol. 40 ›› Issue (2): 259-.doi: 10.3969/j.issn.1674-8115.2020.02.019

• 综述 • 上一篇    下一篇

人工智能在心血管疾病的辅助诊疗中的应用

陆言巧，沈 兰，何 奔   

  1. 上海交通大学附属胸科医院心内科，上海交通大学医学院临床研究中心，上海 200030
  • 出版日期:2020-02-28 发布日期:2020-03-20
  • 通讯作者: 何 奔，电子信箱：drheben@126.com。
  • 作者简介:陆言巧（1995—），女，博士生；电子信箱：15618276983@163.com。
  • 基金资助:
    国家自然科学基金（81900308）；上海交通大学医学院临床研究中心项目（dly201512）。

Application of artificial intelligence in assisted diagnosis and treatment of cardiovascular disease

LU Yan-qiao, SHEN Lan, HE Ben   

  1. Clinical Research Center of Shanghai Jiao Tong University School of Medicine, Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China
  • Online:2020-02-28 Published:2020-03-20
  • Supported by:
    National Natural Science Foundation of China (81900308); Project of Clinical Research Center of Shanghai Jiao Tong University School of Medicine (dly201512).

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摘要： 随着科技的不断发展，人工智能以自主学习、归纳演绎、低错误率等优势成为了当前最热门的新兴技术。在传统的医疗领域尤其是当下发病率极高的心血管疾病方面，人工智能不仅能为患者提供辅助诊断及治疗，还能为医生优化传统风险评估模型，从而预测病情演变，为临床工作的开展带来更多便利及新的视角。该文就近年来人工智能在心血管领域的研究现状进行综述。

关键词: 人工智能, 心血管疾病, 深度学习

Abstract:

With the continuous development of science and technology, artificial intelligence (AI) with self-directed learning, induction and deduction, low error rate and other advantages has become the most popular emerging technology. In the traditional medical field, especially in cardiovascular diseases with high incidence, AI can not only provide auxiliary diagnosis and treatment for patients, but also enable doctors to optimize traditional risk assessment models which can predict the evolution of the disease better. Thereby, AI can provide more convenience and new perspectives for clinical work. This paper reviews the research progress of AI in the cardiovascular field in recent years.

Key words: artificial intelligence (AI), cardiovascular disease, deep learning