Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Tanner Carbonati"'
Autor:
Laurent Fiorina, Tanner Carbonati, Kumar Narayanan, Jia Li, Christine Henry, Jagmeet Singh, Eloi Marijon
Publikováno v:
Heart Rhythm.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20533cb5cfe7bd26136d6db678b6952c
https://doi.org/10.1016/j.hrthm.2023.04.036
https://doi.org/10.1016/j.hrthm.2023.04.036
Autor:
Jagmeet P Singh, Julien Fontanarava, Grégoire de Massé, Tanner Carbonati, Jia Li, Christine Henry, Laurent Fiorina
Publikováno v:
European Heart Journal - Digital Health. 3:208-217
Aims Atrial fibrillation (AF) is associated with significant morbidity but remains underdiagnosed. A 24 h ambulatory electrocardiogram (ECG) is largely used as a tool to document AF but yield remains limited. We hypothesize that a deep learning model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4d505c618cea05819ba54659dda05ee
https://doi.org/10.1093/ehjdh/ztac014
https://doi.org/10.1093/ehjdh/ztac014
Autor:
John M. Pfeifer, Ashraf T. Hafez, Daniel B. Rocha, Christopher W. Good, Arun Nemani, Linyuan Jing, Jeffery A. Ruhl, Nathan J. Stoudt, Kipp W. Johnson, Gargi Schneider, Braxton Lagerman, Alvaro E. Ulloa-Cerna, Tanner Carbonati, Brandon K. Fornwalt, Christoph J. Griessenauer, Christopher M. Haggerty, Dustin N. Hartzel, Sushravya Raghunath, David P. vanMaanen, Noah Zimmerman, Joseph B. Leader, H. Lester Kirchner
Publikováno v:
Circulation
Supplemental Digital Content is available in the text.
Background: Atrial fibrillation (AF) is associated with substantial morbidity, especially when it goes undetected. If new-onset AF could be predicted, targeted screening could be used to fin
Background: Atrial fibrillation (AF) is associated with substantial morbidity, especially when it goes undetected. If new-onset AF could be predicted, targeted screening could be used to fin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ffa34f2b77821b306e01d3937f1b6be
http://europepmc.org/articles/PMC7996054
http://europepmc.org/articles/PMC7996054
Autor:
Christine Henry, Jagmeet P. Singh, Julien Fontanarava, Gregoire de Massé, Tanner Carbonati, Christophe Gardella, Laurent Fiorina, Jia Li
Publikováno v:
Journal of the American College of Cardiology. 79:2015
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09cb38625452be3eaff42df578e593f2
https://doi.org/10.1016/s0735-1097(22)03006-6
https://doi.org/10.1016/s0735-1097(22)03006-6
Autor:
Linyuan Jing, John M. Pfeifer, Dustin N. Hartzel, Christoph J. Griessenauer, Christopher W. Good, David P. vanMaanen, Joseph B. Leader, Sushravya Raghunath, Alvaro Ulloa, Tanner Carbonati, Jeffrey Ruhl, Brandon K. Fornwalt, Christopher M. Haggerty, H. Lester Kirchner, Noah Zimmerman, Arun Nemani, Ashraf T. Hafez, Kipp W. Johnson, Nathan J. Stoudt
Publikováno v:
Circulation. 142
Background: Atrial fibrillation (AF) is associated with stroke, especially when AF goes undetected. Deep neural networks (DNN) can predict incident AF from a 12-lead resting ECG. We hypothesize that use of a DNN to predict new onset AF from an ECG ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70adfdf536acc5dd8126dcec1ff9f887
https://doi.org/10.1161/circ.142.suppl_3.13102
https://doi.org/10.1161/circ.142.suppl_3.13102
Autor:
Dustin N. Hartzel, Christopher M. Haggerty, Bern E. McCarty, Ashraf T. Hafez, John M. Pfeifer, Joseph B. Leader, Linyuan Jing, Brandon K. Fornwalt, Christopher W. Good, H. Lester Kirchner, Tanner Carbonati, Kipp W. Johnson, Arun Nemani, Alvaro E. Ulloa-Cerna, Nathan J. Stoudt, David P. vanMaanen, Christoph J. Griessenauer, Jeffery A. Ruhl, Noah Zimmerman, Sushravya Raghunath
BackgroundAtrial fibrillation (AF) is associated with substantial morbidity, especially when it goes undetected. If new onset AF could be predicted, targeted population screening could be used to find it early. We hypothesized that a deep neural netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fa1f551af5c51c1be8281e25f59822d
https://doi.org/10.1101/2020.04.23.20067967
https://doi.org/10.1101/2020.04.23.20067967
Autor:
Joseph B. Leader, Martin C. Stumpe, Brandon K. Fornwalt, Sushravya Raghunath, Ashraf T. Hafez, Dustin N. Hartzel, Christopher M. Haggerty, H. Lester Kirchner, Aalpen A. Patel, Kipp W. Johnson, Christopher W. Good, Dominik Beer, Linyuan Jing, Alvaro E. Ulloa Cerna, Arun Nemani, David P. vanMaanen, Brian P. Delisle, Amro Alsaid, Tanner Carbonati, Joshua V. Stough, John M. Pfeifer, Katelyn Young
Publikováno v:
Nature medicine. 26(6)
The electrocardiogram (ECG) is a widely used medical test, consisting of voltage versus time traces collected from surface recordings over the heart1. Here we hypothesized that a deep neural network (DNN) can predict an important future clinical even
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::390ec79ab3b4b465ecff62ece0d5ed51
https://pubmed.ncbi.nlm.nih.gov/32393799
https://pubmed.ncbi.nlm.nih.gov/32393799