医学
报销
多样性(控制论)
个性化医疗
临床试验
医疗保健
梅德林
人口
数据科学
人工智能
计算机科学
生物信息学
病理
环境卫生
生物
经济
法学
经济增长
政治学
作者
Michele Ciccarelli,Francesco Giallauria,Albino Carrizzo,Valeria Visco,Angelo Silverio,Arturo Cesaro,Paolo Calabrò,Nicola De Luca,Costantino Mancusi,Daniele Masarone,Giuseppe Pacileo,Nidal Tourkmani,Carlo Vigorito,Carmine Vecchione
出处
期刊:Journal of Cardiovascular Medicine
[Ovid Technologies (Wolters Kluwer)]
日期:2023-05-01
卷期号:24 (Supplement 2): e106-e115
被引量:1
标识
DOI:10.2459/jcm.0000000000001431
摘要
Prevention and effective treatment of cardiovascular disease are progressive issues that grow in tandem with the average age of the world population. Over recent decades, the potential role of artificial intelligence in cardiovascular medicine has been increasingly recognized because of the incredible amount of real-world data (RWD) regarding patient health status and healthcare delivery that can be collated from a variety of sources wherein patient information is routinely collected, including patient registries, clinical case reports, reimbursement claims and billing reports, medical devices, and electronic health records. Like any other (health) data, RWD can be analysed in accordance with high-quality research methods, and its analysis can deliver valuable patient-centric insights complementing the information obtained from conventional clinical trials. Artificial intelligence application on RWD has the potential to detect a patient's health trajectory leading to personalized medicine and tailored treatment. This article reviews the benefits of artificial intelligence in cardiovascular prevention and management, focusing on diagnostic and therapeutic improvements without neglecting the limitations of this new scientific approach.
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