Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Arun Nemani"'
Autor:
Anil Kamat, Condell Eastmond, Yuanyuan Gao, Arun Nemani, Erim Yanik, Lora Cavuoto, Matthew Hackett, Jack Norfleet, Steven Schwaitzberg, Suvranu De, Xavier Intes
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-9 (2023)
Abstract Functional near-infrared spectroscopy (fNIRS) is a neuroimaging tool for studying brain activity in mobile subjects. Open-access fNIRS datasets are limited to simple and/or motion-restricted tasks. Here, we report a fNIRS dataset acquired on
Externí odkaz:
https://doaj.org/article/54a8456d41e640b4aeec58583e05bcc0
Autor:
Yuanyuan Gao, Lora Cavuoto, Anirban Dutta, Uwe Kruger, Pingkun Yan, Arun Nemani, Jack E. Norfleet, Basiel A. Makled, Jessica Silvestri, Steven Schwaitzberg, Xavier Intes, Suvranu De
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Acquisition of fine motor skills is a time-consuming process as it is based on learning via frequent repetitions. Transcranial electrical stimulation (tES) is a promising means of enhancing simple motor skill development via neuromodulatory mechanism
Externí odkaz:
https://doaj.org/article/98efe3fc074e4feb8705ae720ff4f73c
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:
Sushravya Raghunath, John M. Pfeifer, Christopher R. Kelsey, Arun Nemani, Jeffrey A. Ruhl, Dustin N. Hartzel, Alvaro E. Ulloa Cerna, Linyuan Jing, David P. vanMaanen, Joseph B. Leader, Gargi Schneider, Thomas B. Morland, Ruijun Chen, Noah Zimmerman, Brandon K. Fornwalt, Christopher M. Haggerty
Publikováno v:
Journal of electrocardiology. 76
Several large trials have employed age or clinical features to select patients for atrial fibrillation (AF) screening to reduce strokes. We hypothesized that a machine learning (ML) model trained to predict AF risk from 12‑lead electrocardiogram (E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb6b588c745f23077270371b89258794
https://pubmed.ncbi.nlm.nih.gov/36436476
https://pubmed.ncbi.nlm.nih.gov/36436476
Autor:
Arun Nemani, Anil Kamat, Yuanyuan Gao, Meryem Yucel, Denise Gee, Clairice Cooper, Steven Schwaitzberg, Xavier Intes, Anirban Dutta, Suvranu De
Publikováno v:
Neurophotonics
The erratum corrects the Acknowledgments section of the published article.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddade8dfa2ed19033e9b6b1b0c48ee80
http://europepmc.org/articles/PMC8315133
http://europepmc.org/articles/PMC8315133
Autor:
Meryem A. Yücel, Xavier Intes, Anil Kamat, Denise W. Gee, Clairice A. Cooper, Steven D. Schwaitzberg, Arun Nemani, Anirban Dutta, Suvranu De, Yuanyuan Gao
Publikováno v:
Neurophotonics
Significance: Surgical simulators, both virtual and physical, are increasingly used as training tools for teaching and assessing surgical technical skills. However, the metrics used for assessment in these simulation environments are often subjective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a3081a5866ca5fb2794b24402bf1c7a
http://europepmc.org/articles/PMC7927423
http://europepmc.org/articles/PMC7927423
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
Publikováno v:
Surgical Endoscopy. 32:1265-1272
INTRODUCTION: Research has clearly shown the benefits of surgical simulators to train laparoscopic motor skills required for positive patient outcomes. We have developed the Virtual Basic Laparoscopic Skill Trainer (VBLaST) that simulates tasks from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25f903242d966c336a84836ed1674827
https://doi.org/10.1007/s00464-017-5802-8
https://doi.org/10.1007/s00464-017-5802-8
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