Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Juan Portillo"'
Autor:
Pedro Galván, José Fusillo, Felipe González, Oraldo Vukujevic, Luciano Recalde, Ronald Rivas, José Ortellado, Juan Portillo, Julio Borba, Enrique Hilario
Publikováno v:
Revista Panamericana de Salud Pública, Vol 46, Iss 20, Pp 1-8 (2022)
Objetivo. Estudiar la factibilidad de utilización de la inteligencia artificial como método sensible y específico para el cribado de COVID-19 en pacientes con afecciones respiratorias empleando imágenes de tórax obtenidas con tomógrafo y una pl
Externí odkaz:
https://doaj.org/article/cb6ca528964c40149de1564e2527d5c2
Autor:
Pedro Galván, Luciano Recalde, Ronald Rivas, José Fusillo, Felipe González, Oraldo Vukujevic, José Ortellado, Juan Portillo, Julio Borba, Enrique Hilario
Publikováno v:
Revista Panamericana de Salud Pública, Vol 46, Iss 190, Pp 1-2 (2022)
Externí odkaz:
https://doaj.org/article/251f6a720e8642f3b11c413eeb4b3509
Autor:
Pedro Galván, José Fusillo, Felipe González, Oraldo Vukujevic, Luciano Recalde, Ronald Rivas, José Ortellado, Juan Portillo, Julio Mazzoleni, Enrique Hilario
Publikováno v:
Medicine Access @ Point of Care, Vol 5 (2021)
Aim: The aim of the study was to present the results and impact of the application of artificial intelligence (AI) in the rapid diagnosis of COVID-19 by telemedicine in public health in Paraguay. Methods: This is a descriptive, multi-centered, observ
Externí odkaz:
https://doaj.org/article/a0168fbeac85408699bb83186e315671
Publikováno v:
Medicine Access @ Point of Care, Vol 3 (2019)
Introduction: Telemedicine tools offer multiple advantages to achieve an epidemiological screening of communities in rural settings countrywide. However, evidence on the cardiological pathology surveillance in these communities is limited. The feasib
Externí odkaz:
https://doaj.org/article/6112c4793a274abe93d268190b3d9286
Autor:
Pedro Galvan, Ronald Rivas, Benicio Grossling, José Ortellado, Carlos Arbo, Juan Portillo, Julio Borba, Enrique Hilario
Publikováno v:
International Journal of Technology Assessment in Health Care. 38:S105-S106
IntroductionThe diagnosis and management of chronic diseases during the coronavirus disease 2019 (COVID-19) pandemic was one of the biggest challenges facing healthcare systems globally, especially in low-income countries. Since basic health care for
Autor:
Pedro Galvan, Jose Fusill, Felipe Gonzalez, Ronald Rivas, Benicio Grossling, Jose Ortellado, Juan Portillo, Julio Borba, Enrique Hilario
Publikováno v:
International Journal of Technology Assessment in Health Care. 38:S105-S105
IntroductionThe evolution of advances in informatics, technology in medicine, and artificial intelligence (AI) offers opportunities to enhance health care during the coronavirus disease 2019 (COVID-19) pandemic. The challenge for biomedical engineers
Autor:
Pedro, Galván, José, Fusillo, Felipe, González, Oraldo, Vukujevic, Luciano, Recalde, Ronald, Rivas, José, Ortellado, Juan, Portillo, Julio, Borba, Enrique, Hilario
Publikováno v:
Revista panamericana de salud publica = Pan American journal of public health. 46
Study the feasibility of using artificial intelligence as a sensitive and specific method for COVID-19 screening in patients with respiratory conditions, using chest CT scan images and a telemedicine platform.From March 2020 to June 2021, the authors
Autor:
José Fusillo, Julio Mazzoleni, Oraldo Vukujevic, Ronald Rivas, Luciano Recalde, Pedro Galván, Felipe González, José Ortellado, Juan Portillo, Enrique Hilario
Publikováno v:
Medicine Access @ Point of Care, Vol 5 (2021)
Aim: The aim of the study was to present the results and impact of the application of artificial intelligence (AI) in the rapid diagnosis of COVID-19 by telemedicine in public health in Paraguay. Methods: This is a descriptive, multi-centered, observ
Autor:
Pedro Galván, José Ortellado, Julio Mazzoleni, Ronald Rivas, Juan Portillo, Enrique Hilario Rodríguez
Publikováno v:
Revista de salud publica del Paraguay, Volume: 10, Issue: 1, Pages: 52-58, Published: JUN 2020
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Addi. Archivo Digital para la Docencia y la Investigación
instname
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Addi. Archivo Digital para la Docencia y la Investigación
instname
RESUMEN Introducción: la aplicación de tecnologías disruptivas en telemedicina facilita la accesibilidad a tecnologías diagnósticas de poblaciones remotas sin acceso a especialistas y mejora la cobertura universal de servicios de salud. Este est
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7836c26094427af7ccc5795b2320022
http://scielo.iics.una.py/scielo.php?script=sci_arttext&pid=S2307-33492020000100052&lng=en&tlng=en
http://scielo.iics.una.py/scielo.php?script=sci_arttext&pid=S2307-33492020000100052&lng=en&tlng=en
Autor:
Pedro Galvan, Jose Fusillo, Felipe Gonzalez, Oraldo Vukujevic, Ronald Rivas, Luciano Recalde, Jose Ortellado, Juan Portillo, Julio Mazzoleni, Enrique Hilario
Publikováno v:
International Journal of Technology Assessment in Health Care. 37:20-20
IntroductionArtificial intelligence (AI) and innovative technology offer opportunities for enhanced health care during the COVID-19 pandemic. Populations living in low-income countries do not have access to reverse transcription polymerase chain reac