@article{bf2453ac3ac042e4908c8865a254e7ae,
title = "Criteria to Assess the Predictive and Clinical Utility of Novel Models, Biomarkers, and Tools for Risk of Cardiovascular Disease: A Scientific Statement From the American Heart Association",
keywords = "AHA Scientific Statements, artificial intelligence, cardiovascular disease, omics, primary prevention, risk",
author = "Khan, \{Sadiya S.\} and Philip Greenland and Hayman, \{Laura L.\} and Rohan Khera and Navar, \{Ann Marie\} and Pencina, \{Michael J.\} and Nosheen Reza and Shah, \{Svati H.\} and Sujata Shanbhag and Brittany Weber and Sally Wong and Amit Khera",
note = "Publisher Copyright: {\textcopyright} 2026 American Heart Association, Inc.",
year = "2026",
doi = "10.1161/CIR.0000000000001401",
language = "English",
volume = "Publish Ahead of Print",
pages = "1--18",
journal = "Circulation",
issn = "0009-7322",
publisher = "Lippincott Williams and Wilkins",
}