Deep learning analysis of electrocardiogram for risk prediction of drug-induced arrhythmias and diagnosis of long QT syndrome

Prifti, Edi
Fall, Ahmad
Davogustto, Giovanni
Pulini, Alfredo
Denjoy, Isabelle
Funck-Brentano, Christian
Khan, Yasmin
Durand-Salmon, Alexandre
Badilini, Fabio
Wells, Quinn S
Leenhardt, Antoine
Zucker, Jean-Daniel
Roden, Dan M
Extramiana, Fabrice
Salem, Joe-Elie

IRD, Sorbonne University, UMMISCO, 32 Avenue Henri Varagnat, Bondy 93143, France
Sorbonne University, INSERM, NutriOmics, 91 Boulevard de l’Hopital, Paris 75013, France
Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
Faculty of Medicine, Université de Paris, Paris, France
CNMR Maladies Cardiaques Héréditaires Rares, Hôpital Bichat, Paris, France
Clinical Investigation Center Paris-Est, CIC-1901, INSERM, UNICO-GRECO Cardio-Oncology Program, Department of Pharmacology, Pitié-Salpêtrière University Hospital, Sorbonne Universite, 47 Boulevard de l’Hopital, Paris 7513, France
Banook Group, Nancy, France
AMPS LLC, New York, USA
Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN, USA
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA

Corresponding authors. Email: [email protected] (E.P.); Tel: +33 (0)1.42.17.85.35, Email: [email protected] (J.-E.S.)

Giovanni Davogustto and Alfredo Pulini contributed equally to the work.

Received April 11, 2021

Received in revised form June 13, 2021

Accepted August 12, 2021

Revised October 07, 2021

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

European Heart Journal 42(38):p 3948-3961, October 07, 2021. | DOI: 10.1093/eurheartj/ehab588