Knowledge Commons of Institute of Automation，CAS
| Application of Artificial Intelligence in Acute Coronary Syndrome: A Brief Literature Review | |
Wang, Hong1; Zu, Quannan2 ; Chen, Jinglu2; Yang, Zhiren3; Ahmed, Mohammad Anis4
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| 发表期刊 | ADVANCES IN THERAPY
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| ISSN | 0741-238X |
| 2021-09-15 | |
| 页码 | 9 |
| 通讯作者 | Wang, Hong(iriswh2014@163.com) |
| 摘要 | Artificial intelligence (AI) is defined as a set of algorithms and intelligence to try to imitate human intelligence. Machine learning is one of them, and deep learning is one of those machine learning techniques. The application of AI in healthcare systems including hospitals and clinics has many possible advantages and future prospects. Applications of AI in cardiovascular medicine are machine learning techniques for diagnostic procedures including imaging modalities and biomarkers and predictive analytics for personalized therapies and improved outcomes. In cardiovascular medicine, AI-based systems have found new applications in risk prediction for cardiovascular diseases, in cardiovascular imaging, in predicting outcomes after revascularization procedures, and in newer drug targets. AI such as machine learning has partially resolved and provided possible solutions to unmet requirements in interventional cardiology. Predicting economically vital endpoints, predictive models with a wide range of health factors including comorbidities, socioeconomic factors, and angiographic factors comprising of the size of stents, the volume of contrast agent which was infused during angiography, stent malposition, and so on have been possible owing to machine learning and AI. Nowadays, machine learning techniques might possibly help in the identification of patients at risk, with higher morbidity and mortality following acute coronary syndrome (ACS). AI through machine learning has shown several potential benefits in patients with ACS. From diagnosis to treatment effects to predicting adverse events and mortality in patients with ACS, machine learning should find an essential place in clinical medicine and in interventional cardiology for the treatment and management of patients with ACS. This paper is a review of the literature which will focus on the application of AI in ACS. |
| 关键词 | Artificial intelligence Machine learning Acute coronary syndrome Percutaneous coronary intervention Mortality Myocardial infarction Major adverse cardiac events |
| DOI | 10.1007/s12325-021-01908-2 |
| 关键词[WOS] | PREDICTION |
| 收录类别 | SCI |
| 语种 | 英语 |
| 资助项目 | Guangxi Medical and Health Appropriate Technology Development and Promotion Application Project[S2017077] ; Guangxi Nanning Qingxiu District Science and Technology Development Project[2014S06] |
| 项目资助者 | Guangxi Medical and Health Appropriate Technology Development and Promotion Application Project ; Guangxi Nanning Qingxiu District Science and Technology Development Project |
| WOS研究方向 | Research & Experimental Medicine ; Pharmacology & Pharmacy |
| WOS类目 | Medicine, Research & Experimental ; Pharmacology & Pharmacy |
| WOS记录号 | WOS:000696154400002 |
| 出版者 | SPRINGER |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/46023 |
| 专题 | 多模态人工智能系统全国重点实验室_互联网大数据与信息安全 |
| 通讯作者 | Wang, Hong |
| 作者单位 | 1.Peoples Hosp Guangxi Zhuang Autonomous Reg, Dept Cardiol, Nanning 530021, Peoples R China 2.Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Peking Univ, Peoples Hosp, Dept Cardiol, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Hong,Zu, Quannan,Chen, Jinglu,et al. Application of Artificial Intelligence in Acute Coronary Syndrome: A Brief Literature Review[J]. ADVANCES IN THERAPY,2021:9. |
| APA | Wang, Hong,Zu, Quannan,Chen, Jinglu,Yang, Zhiren,&Ahmed, Mohammad Anis.(2021).Application of Artificial Intelligence in Acute Coronary Syndrome: A Brief Literature Review.ADVANCES IN THERAPY,9. |
| MLA | Wang, Hong,et al."Application of Artificial Intelligence in Acute Coronary Syndrome: A Brief Literature Review".ADVANCES IN THERAPY (2021):9. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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