Zobrazeno 1 - 4
of 4
pro vyhledávání: '"R Safie"'
Autor:
R Safie, Marco Antonio Perin, F Nola, Andrea Abizaid, L Pisana, C Dusilek, F Fernandez, R Botelho, M Prudente, Sameer Mehta, H Aboushi, R Cavalcanti, Jamil Cade, Fausto Feres, C Lopez
Publikováno v:
European Heart Journal. 40
Background In resource-constrained nations, population-based AMI coverage is daunting. Telemedicine can transform with efficient, cost-effective and scalable programs. We present our data with screening >780,000 patients with innovative hub and spoke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0134d692d4a8295a615c52bafe575c67
https://doi.org/10.1093/eurheartj/ehz746.0214
https://doi.org/10.1093/eurheartj/ehz746.0214
Autor:
C Villagran, F Nola, C Matheus, A Frauenfelder, F Fernandez, D Vieira, L Pisana, S Quintero, R Safie, S Cecilio, S Krisciunas, M A Torres, J Mazzini, M Ceschim, Sameer Mehta
Publikováno v:
European Heart Journal. 40
Background The cumbersome, standard 12-lead electrocardiogram (EKG) challenges an efficient detection of ST-Elevation Myocardial Infarction (STEMI) in pre-hospital (ambulances) and hospital (portable devices) settings. We believe that our machine-lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3c8b86508cfe2091e8c2b52d4204528
https://doi.org/10.1093/eurheartj/ehz745.0003
https://doi.org/10.1093/eurheartj/ehz745.0003
Autor:
C Villagran, E Cecilio, J Mazzini, C Lopez, Alejandra Frauenfelder, S Quintero, A Munguia, C Matheus, Mario Torres, R Safie, Sameer Mehta, H Aboushi, M Ceschim, Daniel Vieira, Francisco J. Fernández
Publikováno v:
European Heart Journal. 40
Background The importance of culprit lesion identification is critical for risk stratification of a patient with an ST-Elevation Myocardial Infarction (STEMI). The aforementioned provide patients with a more elaborated strategy of management and trea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14cb1c49ee751ed3d535f6b560a4f791
https://doi.org/10.1093/eurheartj/ehz746.1015
https://doi.org/10.1093/eurheartj/ehz746.1015
Autor:
A Munguia, Francisco J. Fernández, Daniel Vieira, S Sunkaraneni, J Mazzini, F Nola, S Quintero, C Villagran, C Matheus, R Safie, Mario Torres, Sameer Mehta, M Ceschim, L Pisana, S Krisciunas
Publikováno v:
European Heart Journal. 40
Background We have explored the performance of a single lead EKG with Artificial Intelligence (AI) based algorithms in STEMI diagnosis, thus far lead V2 has yielded the best results. Anticipating the performance of the LUMENGT-AI model, we designed a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c0a17888b59af807c74dbd1b92d57a8
https://doi.org/10.1093/eurheartj/ehz748.0229
https://doi.org/10.1093/eurheartj/ehz748.0229