An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction

Zachi I. Attia; Peter A. Noseworthy; Francisco López-Jiménez; Samuel J. Asirvatham; Abhishek Deshmukh; Bernard J. Gersh; Rickey E. Carter; Xiaoxi Yao; Alejandro A. Rabinstein; Brad J Erickson; Suraj Kapa; Paul A. Friedman

doi:10.1016/s0140-6736(19)31721-0

Keywords

Atrial fibrillationMedicineSinus rhythmCardiologyInternal medicineAtrial flutterReceiver operating characteristicElectrocardiography

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Publication Info

Year: 2019
Type: article
Volume: 394
Issue: 10201
Pages: 861-867
Citations: 1333
Access: Closed

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APA Style

                            
                                
                                    Zachi I. Attia, 
                                
                                    Peter A. Noseworthy, 
                                
                                    Francisco López-Jiménez
                                
                                et al.
                            
                            (2019). 
                            An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction. 
                            The Lancet
                            , 394
                            (10201)
                            , 861-867.
                            https://doi.org/10.1016/s0140-6736(19)31721-0
                        

Identifiers

DOI: 10.1016/s0140-6736(19)31721-0