Rapid Exclusion of COVID Infection With the Artificial Intelligence Electrocardiogram

OBJECTIVE: To rapidly exclude severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using artificial intelligence applied to the electrocardiogram (ECG). METHODS: A global, volunteer consortium from 4 continents identified patients with ECGs obtained around the time of polymerase ch...

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Detalles Bibliográficos
Autores principales: Attia, Zachi I., Kapa, Suraj, Dugan, Jennifer, Pereira, Naveen, Noseworthy, Peter A., Jimenez, Francisco Lopez, Cruz, Jessica, Carter, Rickey E., DeSimone, Daniel C., Signorino, John, Halamka, John, Chennaiah Gari, Nikhita R., Madathala, Raja Sekhar, Platonov, Pyotr G., Gul, Fahad, Janssens, Stefan P., Narayan, Sanjiv, Upadhyay, Gaurav A., Alenghat, Francis J., Lahiri, Marc K., Dujardin, Karl, Hermel, Melody, Dominic, Paari, Turk-Adawi, Karam, Asaad, Nidal, Svensson, Anneli, Fernandez-Aviles, Francisco, Esakof, Darryl D., Bartunek, Jozef, Noheria, Amit, Sridhar, Arun R., Lanza, Gaetano A., Cohoon, Kevin, Padmanabhan, Deepak, Pardo Gutierrez, Jose Alberto, Sinagra, Gianfranco, Merlo, Marco, Zagari, Domenico, Rodriguez Escenaro, Brenda D., Pahlajani, Dev B., Loncar, Goran, Vukomanovic, Vladan, Jensen, Henrik K., Farkouh, Michael E., Luescher, Thomas F., Su Ping, Carolyn Lam, Peters, Nicholas S., Friedman, Paul A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mayo Foundation for Medical Education and Research 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327278/
https://www.ncbi.nlm.nih.gov/pubmed/34353468
http://dx.doi.org/10.1016/j.mayocp.2021.05.027

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