Artificial intelligence in cardiovascular prevention: new ways will open new doors

被引：0
作者：
Ciccarelli, Michele [1 ,9 ]
Giallauria, Francesco [2 ]
Carrizzo, Albino [1 ,3 ]
Visco, Valeria [1 ]
Silverio, Angelo [1 ]
Cesaro, Arturo [4 ]
Calabro, Paolo [4 ]
De Luca, Nicola [5 ]
Mancusi, Costantino [5 ]
Masarone, Daniele [6 ]
Pacileo, Giuseppe [6 ]
Tourkmani, Nidal [7 ,8 ]
Vigorito, Carlo [2 ]
Vecchione, Carmine [1 ,3 ]
机构：
[1] Univ Salerno, Dept Med Surg & Dent, Baronissi, Italy
[2] Univ Naples Federico II, Dept Translat Med Sci, Naples, Italy
[3] IRCCS Neuromed, Vasc Physiopathol Unit, Pozzilli, Italy
[4] Univ Campania Luigi Vanvitelli, Dept Translat Med Sci, Naples, Italy
[5] Univ Naples Federico II, Dept Adv Biomed Sci, Naples, Italy
[6] AORN Colli Monaldi Hosp Naples, Dept Cardiol, Heart Failure Unit, Naples, Italy
[7] Mons Giosue Calaciura Clin, Cardiol & Cardiac Rehabil Unit, Catania, Italy
[8] ABL, Guangzhou, Peoples R China
[9] Univ Salerno, Dept Med Surg & Dent, Via Salvador Allende, I-84081 Salerno, Italy
来源：
JOURNAL OF CARDIOVASCULAR MEDICINE | 2023年 / 24卷
关键词：
artificial intelligence; atrial fibrillation; cardiovascular prevention; coronary artery disease; heart failure; hypertension; machine learning; personalized medicine; risk stratification; CORONARY-ARTERY-DISEASE; INCIDENT ATRIAL-FIBRILLATION; FAILURE RISK SCORE; HEART-FAILURE; PREDICTION MODEL; HEALTH-CARE; VALIDATION; CARDIOLOGY; EVENTS; PERFORMANCE;
D O I：
暂无
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
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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收藏
页码：E106 / E115
页数：10
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