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Circulation: Cardiovascular Imaging EDITORIAL Artificial Intelligence Pipeline for Risk Prediction in Cardiovascular Imaging See Article by Kay et al Karen G. Ordovas, MD, MAS Youngho Seo, PhD ith the advent of modern artificial intelligence (AI), physicians and sci- entists have the opportunity to develop specific tools that can detect Wphenotypic features in the heart that would otherwise remain unrecog- nized. This ability to use large imaging datasets to further risk stratify patients for cardiovascular events and potentially modify outcomes is a very exciting new fron- tier in medicine. When developed under rigorous scientific methodology and vali- dated with appropriate methods, AI models have the potential to aid our under- standing of heart disease and could be used to inform risk modification strategies. Noninvasive imaging identification of left ventricular hypertrophy (LVH) is an important imaging biomarker as it is associated with increased risk of cardiovascu- 3,4 lar events and death. More importantly, LVH is a modifiable risk factor, as the risk 5,6 of events decreases when LVH resolves or improves. Unless patients undergo a dedicated cardiac imaging study, it is unlikely that presence and degree of LVH will be identified in asymptomatic individuals. In the current issue of the journal,
Circulation: Cardiovascular Imaging – Wolters Kluwer Health
Published: Feb 1, 2020
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