@article{4bed3c22314d4d60b92f58dd017a5175,
title = "The Future of AI-Enhanced ECG Interpretation for Valvular Heart Disease Screening",
keywords = "aortic stenosis, artificial intelligence, electrocardiogram, screening",
author = "Ambarish Pandey and Demilade Adedinsewo",
note = "Funding Information: Dr Pandey has received research grant support from the Gilead Sciences Research Scholar Program, the National Institute of Aging GEMSSTAR Grant (1R03AG067960-01), and Applied Therapeutics; has received honoraria outside of the present study as an advisor/consultant for Tricog Health Inc and Lilly, USA, Rivus, and Roche Diagnostics; and has received nonfinancial support from Pfizer and Merck. Dr Adedinsewo{\textquoteright}s research is supported by the Mayo Clinic Women{\textquoteright}s Health Research Center and the Mayo Clinic Building Interdisciplinary Research Careers in Women{\textquoteright}s Health (BIRCWH) Program funded by the National Institutes of Health grant K12 HD065987. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.",
year = "2022",
month = aug,
day = "9",
doi = "10.1016/j.jacc.2022.05.034",
language = "English (US)",
volume = "80",
pages = "627--630",
journal = "Journal of the American College of Cardiology",
issn = "0735-1097",
publisher = "Elsevier USA",
number = "6",
}