Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related Stroke.

Sushravya Raghunath; John M Pfeifer; Alvaro E Ulloa-Cerna; Arun Nemani; Tanner Carbonati; Linyuan Jing; David P vanMaanen; Dustin N Hartzel; Jeffery A Ruhl; Braxton F Lagerman; Daniel B Rocha; Nathan J Stoudt; Gargi Schneider; Kipp W Johnson; Noah Zimmerman; Joseph B Leader; H Lester Kirchner; Christoph Griessenauer; Ashraf Hafez; Christopher W Good; Brandon K Fornwalt; Christopher M Haggerty

doi:10.1161/CIRCULATIONAHA.120.047829

Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related Stroke.

Sushravya Raghunath, John M Pfeifer, Alvaro E Ulloa-Cerna, Arun Nemani, Tanner Carbonati, Linyuan Jing, David P vanMaanen, Dustin N Hartzel, Jeffery A Ruhl, Braxton F Lagerman, Daniel B Rocha, Nathan J Stoudt, Gargi Schneider, Kipp W Johnson, Noah Zimmerman, Joseph B Leader, H Lester Kirchner, Christoph Griessenauer (Co-Autor/-in), Ashraf Hafez, Christopher W GoodBrandon K Fornwalt, Christopher M Haggerty

Publikation: Beitrag in Fachzeitschrift › Originalarbeit › Begutachtung

151 Quellenangaben (Web of Science)

Originalsprache	Englisch
Seiten (von - bis)	1287-1298
Fachzeitschrift	CIRCULATION
Jahrgang	143
Ausgabenummer	13
DOIs	https://doi.org/10.1161/CIRCULATIONAHA.120.047829
Publikationsstatus	Veröffentlicht - 2021

Zugriff auf Dokument

10.1161/CIRCULATIONAHA.120.047829

Dieses zitieren

Raghunath, S., Pfeifer, J. M., Ulloa-Cerna, A. E., Nemani, A., Carbonati, T., Jing, L., vanMaanen, D. P., Hartzel, D. N., Ruhl, J. A., Lagerman, B. F., Rocha, D. B., Stoudt, N. J., Schneider, G., Johnson, K. W., Zimmerman, N., Leader, J. B., Kirchner, H. L., Griessenauer, C., Hafez, A., ... Haggerty, C. M. (2021). Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related Stroke. CIRCULATION, 143(13), 1287-1298. https://doi.org/10.1161/CIRCULATIONAHA.120.047829

@article{3d0c7ca37406466ab33030ee7c00a973,

title = "Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related Stroke.",

author = "Sushravya Raghunath and Pfeifer, {John M} and Ulloa-Cerna, {Alvaro E} and Arun Nemani and Tanner Carbonati and Linyuan Jing and vanMaanen, {David P} and Hartzel, {Dustin N} and Ruhl, {Jeffery A} and Lagerman, {Braxton F} and Rocha, {Daniel B} and Stoudt, {Nathan J} and Gargi Schneider and Johnson, {Kipp W} and Noah Zimmerman and Leader, {Joseph B} and Kirchner, {H Lester} and Christoph Griessenauer and Ashraf Hafez and Good, {Christopher W} and Fornwalt, {Brandon K} and Haggerty, {Christopher M}",

note = "Griessenauer: Research Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria ",

year = "2021",

doi = "10.1161/CIRCULATIONAHA.120.047829",

language = "English",

volume = "143",

pages = "1287--1298",

journal = "CIRCULATION",

issn = "0009-7322",

publisher = "Lippincott Williams & Wilkins ",

number = "13",

}

Raghunath, S, Pfeifer, JM, Ulloa-Cerna, AE, Nemani, A, Carbonati, T, Jing, L, vanMaanen, DP, Hartzel, DN, Ruhl, JA, Lagerman, BF, Rocha, DB, Stoudt, NJ, Schneider, G, Johnson, KW, Zimmerman, N, Leader, JB, Kirchner, HL, Griessenauer, C, Hafez, A, Good, CW, Fornwalt, BK & Haggerty, CM 2021, 'Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related Stroke.', CIRCULATION, Jg. 143, Nr. 13, S. 1287-1298. https://doi.org/10.1161/CIRCULATIONAHA.120.047829

TY - JOUR

T1 - Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related Stroke.

AU - Raghunath, Sushravya

AU - Pfeifer, John M

AU - Ulloa-Cerna, Alvaro E

AU - Nemani, Arun

AU - Carbonati, Tanner

AU - Jing, Linyuan

AU - vanMaanen, David P

AU - Hartzel, Dustin N

AU - Ruhl, Jeffery A

AU - Lagerman, Braxton F

AU - Rocha, Daniel B

AU - Stoudt, Nathan J

AU - Schneider, Gargi

AU - Johnson, Kipp W

AU - Zimmerman, Noah

AU - Leader, Joseph B

AU - Kirchner, H Lester

AU - Griessenauer, Christoph

AU - Hafez, Ashraf

AU - Good, Christopher W

AU - Fornwalt, Brandon K

AU - Haggerty, Christopher M

N1 - Griessenauer: Research Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria

PY - 2021

Y1 - 2021

U2 - 10.1161/CIRCULATIONAHA.120.047829

DO - 10.1161/CIRCULATIONAHA.120.047829

M3 - Original Article

C2 - 33588584

SN - 0009-7322

VL - 143

SP - 1287

EP - 1298

JO - CIRCULATION

JF - CIRCULATION

IS - 13

ER -