D'Amario Domenico, Canonico Francesco, Rodolico Daniele, Borovac Josip A, Vergallo Rocco, Montone Rocco Antonio, Galli Mattia, Migliaro Stefano, Restivo Attilio, Massetti Massimo, Crea Filippo
Department of Cardiovascular and Thoracic Sciences, Fondazione Policlinico Universitario A Gemelli IRCCS Rome, Italy.
Department of Pathophysiology, University of Split School of Medicine Split, Croatia.
Card Fail Rev. 2020 Jun 15;6:e16. doi: 10.15420/cfr.2019.17. eCollection 2020 Mar.
New technologies have been recently introduced to improve the monitoring of patients with chronic syndromes such as heart failure. Devices can now be employed to gather large amounts of data and data processing through artificial intelligence techniques may improve heart failure management and reduce costs. The analysis of large datasets using an artificial intelligence technique is leading to a paradigm shift in the era of precision medicine. However, the assessment of clinical safety and the evaluation of the potential benefits is still a matter of debate. In this article, the authors aim to focus on the development of these new tools and to draw the attention to their transition in daily clinical practice.
最近引入了新技术以改善对慢性综合征患者（如心力衰竭患者）的监测。现在可以使用设备来收集大量数据，并且通过人工智能技术进行数据处理可能会改善心力衰竭的管理并降低成本。使用人工智能技术对大型数据集进行分析正在导致精准医学时代的范式转变。然而，临床安全性评估和潜在益处评估仍然是一个有争议的问题。在本文中，作者旨在关注这些新工具的开发，并提请注意它们在日常临床实践中的转变。
