AI-CVD-HF: A heart failure risk prediction model based on coronary artery calcium scans compared with PREVENT-HF

Background: The AI-CVD initiative seeks to extract actionable information from coronary artery calcium (CAC) scans beyond the CAC score. We aimed to develop a heart failure (HF) prediction model, AI-CVD-HF, based on AI-derived features from non-contrast CAC scans, and compare it with PREVENT-HF. Met...

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Detalhes bibliográficos

Principais autores:	Seyed Reza Mirjalili, Kyle Atlas, Anthony P. Reeves, Chenyu Zhang, Jakob Wasserthal, Amir Azimi, Ali Hashemi, Mohammadhossein Mozafarybazargany, Amir Ghaffari Jolfayi, Thomas Atlas, Claudia I. Henschke, David F. Yankelevitz, Javier J. Zulueta, Wenjun Fan, Jeffrey I. Mechanick, Andrea D. Branch, Zahi Fayad, Michael V. McConnell, Jamal S. Rana, Rozemarijn Vliegenthart, David J. Maron, Jagat Narula, Matthew J. Budoff, Roxana Mehran, Kim A. Williams, Sr., Predimon K. Shah, Oren Mechanic, Arthur S Agatston, Robert A. Kloner, Nathan D. Wong, Morteza Naghavi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2026-06-01
coleção:	American Journal of Preventive Cardiology
Assuntos:	Artificial intelligence Heart failure Prevention Coronary artery calcium scan Calcium Score PREVENT Score
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2666667726000589
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