AI can now identify atrial fibrillation through sinus rhythm

^*Corresponding author for this work

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

Keywords

@article{06543674be2a43af9803a5e1d13f81d6,

title = "AI can now identify atrial fibrillation through sinus rhythm",

keywords = "atrial fibrillation sinus rhythm AI-ECG artificial intelligence",

author = "Hendriks, \{Jeroen M. L.\} and Larissa Fabritz",

note = "10.1016/S0140-6736(19)31719-2",

year = "2019",

doi = "10.1016/S0140-6736(19)31719-2",

language = "English",

volume = "394",

pages = "812--813",

journal = "Lancet",

issn = "0140-6736",

publisher = "Elsevier B.V.",

number = "10201",

}

TY - JOUR

T1 - AI can now identify atrial fibrillation through sinus rhythm

AU - Hendriks, Jeroen M. L.

AU - Fabritz, Larissa

N1 - 10.1016/S0140-6736(19)31719-2

PY - 2019

Y1 - 2019

KW - atrial fibrillation sinus rhythm AI-ECG artificial intelligence

U2 - 10.1016/S0140-6736(19)31719-2

DO - 10.1016/S0140-6736(19)31719-2

M3 - Comment/Letter to the editor

SN - 0140-6736

VL - 394

SP - 812

EP - 813

JO - Lancet

JF - Lancet

IS - 10201

ER -