Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Fernando Liebhart Maia"'
Autor:
Ana Rubia Guedes, Maura S. Oliveira, Bruno M. Tavares, Alessandra Luna-Muschi, Carolina dos Santos Lazari, Amanda C. Montal, Elizabeth de Faria, Fernando Liebhart Maia, Antonio dos Santos Barboza, Mariana Deckers Leme, Francis M. Tomazini, Silvia Figueiredo Costa, Anna S. Levin
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-5 (2023)
Abstract In this large cohort of healthcare workers, we aimed to estimate the rate of reinfections by SARS-CoV-2 over 2 years of the COVID-19 pandemic. We investigated the proportion of reinfections among all the cases of SARS-CoV-2 infection from Ma
Externí odkaz:
https://doaj.org/article/8c715096edda4ef09812dbcc8f77b28e
Autor:
Kaio Jia Bin, Adler Araujo Ribeiro Melo, José Guilherme Moraes Franco da Rocha, Renata Pivi de Almeida, Vilson Cobello Junior, Fernando Liebhart Maia, Elizabeth de Faria, Antonio José Pereira, Linamara Rizzo Battistella, Suzane Kioko Ono
Publikováno v:
JMIR Formative Research, Vol 6, Iss 2, p e29012 (2022)
BackgroundTo demonstrate the value of implementation of an artificial intelligence solution in health care service, a winning project of the Massachusetts Institute of Technology Hacking Medicine Brazil competition was implemented in an urgent care s
Externí odkaz:
https://doaj.org/article/babc8c1e926740b5bb1b17da81cc0339
Autor:
Flavia C. S. Sales, Igor C. Borges, Pamela S Andrade, Ingra Morales Claro, Ester Cerdeira Sabino, Carolina S. Lazari, Aluísio Augusto Cotrim Segurado, Ana Rubia Guedes, Antonio Santos Barboza, Maria Cassia Mendes-Correa, Mariana Deckers Leme, Silvia Figueiredo Costa, Esper G. Kallas, Alessandra Luna-Muschi, Fernando Liebhart Maia, Elizabeth de Faria, Alberto José da Silva Duarte, Anna S. Levin
Publikováno v:
The Journal of Infection
The emergence of new variants of concern (VOCs) of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) around the world significantly complicated the exit from Coronavirus disease 2019 (COVID-19) pandemic. The aim of this study was to evalua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81018f3254a42c3077f0b897ef9d627f
https://doi.org/10.1016/j.jinf.2021.09.005
https://doi.org/10.1016/j.jinf.2021.09.005
Autor:
Kaio Jia Bin, Adler Araujo Ribeiro Melo, José Guilherme Moraes Franco da Rocha, Renata Pivi de Almeida, Vilson Cobello Junior, Fernando Liebhart Maia, Elizabeth de Faria, Antonio José Pereira, Linamara Rizzo Battistella, Suzane Kioko Ono
BACKGROUND To demonstrate the value of implementation of an artificial intelligence solution in health care service, a winning project of the Massachusetts Institute of Technology Hacking Medicine Brazil competition was implemented in an urgent care
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd79a4973f67aa266c5b3abd22b9fd3e
https://doi.org/10.2196/preprints.29012
https://doi.org/10.2196/preprints.29012
Autor:
Adler Araújo Ribeiro Melo, José Guilherme Franco da Rocha, Renata Pivi de Almeida, Vilson Cobello, Fernando Liebhart Maia, Antonio Jose Perreira, Suzane Kioko Ono, Elizabeth de Faria, Kaio Jia Bin
Publikováno v:
SSRN Electronic Journal.
Background: AIRA is an AI designed to reduce the time that doctors dedicate filling out EHR, winner of the first edition of MIT Hacking Medicine held in Brazil in 2020.As a proof of concept, AIRA was implemented in administrative process before its a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfc37ebb2aa09b7fd4570ce6f10873fd
https://doi.org/10.2139/ssrn.3807322
https://doi.org/10.2139/ssrn.3807322
Autor:
Esper G. Kallas, Mariana Deckers Leme, Silvia Figueiredo Costa, Pamela S Andrade, Ingra Morales Claro, Ana Rubia Guedes, Alessandra Luna-Muschi, Flavia Cristina da Silva Salles, Ester Cerdeira Sabino, Carolina S. Lazari, Antonio Santos Barboza, Maria Cassia Mendes-Correa, Anna S. Levin, Alberto José da Silva Duarte, Elizabeth de Faria, Igor C. Borges, Fernando Liebhart Maia, Aluísio Augusto Cotrim Segurado
Publikováno v:
SSRN Electronic Journal.
Background: The Gamma variant has been considered the predominant SARS-CoV-2 lineage in Brazil during the first half of 2021. We aimed to characterise the clinical presentation of COVID-19 caused by the Gamma variant in comparison with strains that a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc25a15a52650a0d263a8ab85e73f4d5
https://doi.org/10.2139/ssrn.3903232
https://doi.org/10.2139/ssrn.3903232
Autor:
Suzane Kioko Ono, Kaio Jia Bin, Adler Araújo Ribeiro Melo, Renata Pivi de Almeida, José Guilherme Franco da Rocha, Vilson Cobello, Antonio José Rodrigues Pereira, Fernando Liebhart Maia, Elizabeth de Faria, Linamara Rizzo Battistella
Publikováno v:
JMIR Formative Research. 6:e29012
Background To demonstrate the value of implementation of an artificial intelligence solution in health care service, a winning project of the Massachusetts Institute of Technology Hacking Medicine Brazil competition was implemented in an urgent care
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdddbcec2e7e7741f5aece830d494148
https://doi.org/10.2196/29012
https://doi.org/10.2196/29012