Brunetti Natale D, Curcio Antonio, Nodari Savina, Parati Gianfranco, Carugo Stefano, Molinari Martina, Acquistapace Flavio, Gensini Gianfranco, Molinari Giuseppe
Division of Cardiology, Department of Medical & Surgical Sciences, University of Foggia, Foggia.
Division of Cardiology, Department of Medical and Surgical Sciences, University 'Magna Graecia' of Catanzaro, Catanzaro.
J Cardiovasc Med (Hagerstown). 2023 May 1;24(Suppl 2):e168-e177. doi: 10.2459/JCM.0000000000001447.
In 2015, the Italian Society of Cardiology and its Working Group on Telemedicine and Informatics issued a position paper on Telecardiology, resuming the most eminent evidence supporting the use of information and communication technology in principal areas of cardiovascular care, ranked by level of evidence. More than 5 years later and after the global shock inflicted by the SARS-CoV-2 pandemic, an update on the topic is warranted. Recent evidence and studies on principal areas of cardiovascular disease will be therefore reported and discussed, with particular focus on telemedicine for cardiovascular care in the COVID-19 context. Novel perspectives and opportunities disclosed by artificial intelligence and its applications in cardiovascular disease will also be discussed. Finally, modalities by which machine learning have realized remote patient monitoring and long-term care in recent years, mainly filtering critical clinical data requiring selective hospital admission, will be provided.
2015年，意大利心脏病学会及其远程医疗与信息学工作组发布了一份关于远程心脏病学的立场文件，总结了支持在心血管护理主要领域使用信息通信技术的最突出证据，并按证据水平进行了排序。5年多后，在严重急性呼吸综合征冠状病毒2（SARS-CoV-2）大流行带来全球冲击之后，有必要对这一主题进行更新。因此，将报告和讨论心血管疾病主要领域的最新证据和研究，特别关注COVID-19背景下心血管护理的远程医疗。还将讨论人工智能及其在心血管疾病中的应用所揭示的新观点和机会。最后，将介绍近年来机器学习实现远程患者监测和长期护理的方式，主要是筛选需要选择性住院的关键临床数据。
