Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Samantha Quintero"'
Autor:
Francisco J. Fernández, Sebastian Niklitschek, Carlos Villagran, Claudia Lopez, Gladys Pinto, Daniel Vieira, Samantha Quintero, Cristina Matheus, Roberto Botelho, Alejandra Frauenfelder, Mariana Ceschim, Jorge Mazzini, Maria Acosta, Clara Fitzgerald, Anibal Munguia, Isabella Vallenilla, Lorena Pisana, Sameer Mehta, C. Michael Gibson
Publikováno v:
International Journal of Cardiology. 346:47-52
Background While ST-Elevation Myocardial Infarction (STEMI) door-to-balloon times are often below 90 min, symptom to door times remain long at 2.5-h, due at least in part to a delay in diagnosis. Objectives To develop and validate a machine learning-
Autor:
Samantha Quintero Montoya
Publikováno v:
Escribanía. 20
Este artículo presenta un análisis cualitativo – interpretativo de caso sobre la imagen de la mujer desplazada en el cine colombiano. El objetivo es poder develar cómo el cine representa las contingencias de la mujer que se ha tenido que some
Autor:
Daniela Bou Daher, Catalina Molnar, Jhonny Bonilla, Daniel Vieira, Floralba Duka, David Zerpa, Andreea Molnar, María Fernanda Fleming Díaz, Samantha Quintero, Sameer Mehta, Hudson Franca
Publikováno v:
Journal of Cardiology & Current Research. 13:124-129
Autor:
Sameer Mehta, Daniel Vieira, Sebastian Niklitschek, G Cardenas, S Merchant, Samantha Quintero, Carlos Villagran, Francisco J. Fernández, Y Vijayan, C.J Tamayo, Alejandra Frauenfelder
Publikováno v:
European Heart Journal. 41
Background Novel STEMI detection tools using wearable Single Lead EKG methodologies demonstrate vast potential in many clinical scenarios. Recent research suggests that smartwatches and other wearable devices can be repositioned to acquire “new”
Autor:
R Rocuant, Carlos Villagran, Samantha Quintero, C Sanchez, Alejandra Frauenfelder, Sebastian Niklitschek, Daniel Vieira, F Vera, Y Vijayan, G Cardenas, Francisco J. Fernández, C Narvaez-Caicedo, S Merchant, Sameer Mehta, J Avila
Publikováno v:
European Heart Journal. 41
Background With the introduction of electronic medical records and other digital platforms, the classification and coding of different medical entities have become a complex, cumbersome task that is prone to diagnostic inconsistencies and errors. By
Autor:
Mariana Ceschim, Alejandra Frauenfelder, Isabella Vallenilla, Gladys Pinto, Jorge Cardenas, G Perez Del Nogal, Francisco J. Fernández, Daniel Vieira, Carlos Villagran, Maritza Luna, Lilly Prieto, Felipe Vera, Samantha Quintero, Sebastian Niklitschek, Sameer Mehta
Publikováno v:
European Heart Journal. 41
Background The present process of STEMI detection is cumbersome as it utilizes outdated equipment and requires a trained technician and an expert cardiologist. We have developed a patient-administered, Artificial Intelligence (AI) guided, Single Lead
Autor:
F Vera, Daniel Vieira, Sameer Mehta, G Cardenas, S Merchant, Gladys Pinto, Francisco J. Fernández, J Avila, D Bou Daher, Carlos Villagran, Y Vijayan, R Rocuant, Samantha Quintero, Alejandra Frauenfelder, Sebastian Niklitschek
Publikováno v:
European Heart Journal. 41
Background With the sudden advent of Artificial Intelligence (AI), incorporation of these technologies into key aspects of our working environment has become an ever so delicate task, especially so when dealing with time-sensitive and potentially let
Autor:
Alejandra Frauenfelder, Daniel Vieira, Y Vijayan, S Merchant, Samantha Quintero, G Cardenas, C.J Tamayo, Francisco J. Fernández, Sameer Mehta, Carlos Villagran
Publikováno v:
European Heart Journal. 41
Background Our previous experience in telemedicine-centered STEMI management networks has shown delayed presentations as one of the most relevant factors in the reduction of Symptom-to-Baloon times. In order to further improve outcomes, we delved int
Autor:
Y Vijayan, Sameer Mehta, S Merchant, E Escobar, C.J Tamayo, G Cardenas, F Vera, Carlos Villagran, R Rocuant, Daniel Vieira, Francisco J. Fernández, Samantha Quintero, Alejandra Frauenfelder, J Avila, Sebastian Niklitschek
Publikováno v:
European Heart Journal. 41
Background STEMI outcomes, although improved with systems of care, are hamstrung by delayed presentation and prevaricates of a 12-lead ECG. We report an artificial intelligence (AI) guided, single lead EKG algorithm for a self-administered tool to re
Autor:
F Vera, Maritza Luna, D Bou Daher, Y Vijayan, N Coutelle, Carlos Villagran, G Cardenas, Francisco J. Fernández, Samantha Quintero, Daniel Vieira, J Avila, R Rocuant, Sameer Mehta, Sebastian Niklitschek, Alejandra Frauenfelder
Publikováno v:
European Heart Journal. 41
Background EKG interpretation is slowly transitioning to a physician-free, Artificial Intelligence (AI)-driven endeavor. Our continued efforts to innovate follow a carefully laid stepwise approach, as follows: 1) Create an AI algorithm that accuratel