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pro vyhledávání: '"Patrick M. Boyle, PhD"'
Autor:
Arun R. Sridhar, MBBS, MPH, Zih-Hua Chen (Amber), MS, Jacob J. Mayfield, MD, Alison E. Fohner, PhD, Panagiotis Arvanitis, MD, Sarah Atkinson, BS, Frieder Braunschweig, MD, PhD, Neal A. Chatterjee, MD, MSc, Alessio Falasca Zamponi, MD, Gregory Johnson, PhD, Sanika A. Joshi, Mats C.H. Lassen, MD, Jeanne E. Poole, MD, FHRS, Christopher Rumer, BS, Kristoffer G. Skaarup, MD, Tor Biering-Sørensen, MD, PhD, MPH, Carina Blomstrom-Lundqvist, MD, PhD, Cecilia M. Linde, MD, PhD, Mary M. Maleckar, PhD, Patrick M. Boyle, PhD
Publikováno v:
Cardiovascular Digital Health Journal, Vol 3, Iss 2, Pp 62-74 (2022)
Background: Adverse events in COVID-19 are difficult to predict. Risk stratification is encumbered by the need to protect healthcare workers. We hypothesize that artificial intelligence (AI) can help identify subtle signs of myocardial involvement in
Externí odkaz:
https://doaj.org/article/6316a0a9cdc74dc7af37d360fe026757
