人工智能在心血管疾病中的主要应用:人工智能在未来医学中扮演什么样的潜在角色?

Yang Yan, Jia-Wen Zhang, Guangyao Zang, Jun Pu
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引用次数: 53

摘要

心血管疾病(CVD)是人类健康的主要威胁,也是世界范围内导致死亡的主要原因。2016年,心血管疾病导致1760万人死亡,比2006年增加14.5%。不幸的是,心血管疾病的死亡率和发病率正在逐年上升,特别是在发展中地区。研究表明,大约80%的心血管疾病相关死亡发生在低收入和中等收入国家。此外,这些死亡发生在比高收入国家更年轻的年龄。在发展中国家,快速的经济转型导致环境变化和不健康的生活方式;此外,人口老龄化可能增加心血管危险因素,增加心血管疾病的发病率。心血管疾病给患者和整个社会带来了沉重的负担。因此,有必要为今后提高心血管疾病的诊断和治疗提供策略。目前,人工智能(AI)可能有潜力解决这个问题。然而,人工智能的概念从引入到现在已经有六十多年了。人工智能在医学上的应用尚不清楚。此外,人工智能在未来医学中的作用是什么?人工智能技术的发展是否会导致大量临床医生失业,目前的研究结果无法提供答案。本文试图基于以下六个主题,根据现有信息,简要回顾人工智能在临床应用中的现状。1. 什么是人工智能?2. 医疗人工智能的价值。3.人工智能在心血管疾病中的应用。4. 未来的前景。5. 目前的缺点。
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The primary use of artificial intelligence in cardiovascular diseases: what kind of potential role does artificial intelligence play in future medicine?
Cardiovascular diseases (CVD) is a major threat to human health and the leading cause of death worldwide. The incidence of CVD caused 17.6 million deaths in 2016, an increase of 14.5% from 2006 to 2016. Unfortunately, the mortality and morbidity rates of CVD are increasing year by year, especially in developing regions. Studies have shown that approximately 80% of CVD-related deaths occur in lowand middle-income countries. Besides, these deaths occur at a younger age than in high-income countries.  In developing countries, rapid economic transformation leads to environmental changes and unhealthy lifestyles; in addition, population ageing may increase cardiovascular risk factors and increase the incidence of CVD. CVD has placed a heavy burden on patients and society as a whole. Therefore, it is necessary to provide strategies for improving the diagnosis and treatment of CVD in the future. Currently, artificial intelligence (AI) may have the potential to solve this problem. However, it has been more than sixty years since the introduction of the concept of AI. The application of AI in medicine is still unclear. Furthermore, the role of AI in medicine in the future? Whether it will lead to a large number of unemployed clinicians due to the development of AI technology, the current research results cannot provide an answer. This article attempts to make a brief review of the current state of AI in clinical applications based on available information based on the following six themes. 1. What is AI? 2. The value of medical AI. 3. The application of AI in CVD. 4. Future prospect. 5. Current shortcomings.
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