An artificial intelligence-based model for prediction of atrial fibrillation from single-lead sinus rhythm electrocardiograms facilitating screening.

Autor: Hygrell T; Department of Clinical Sciences, Karolinska Institutet, Danderyd University Hospital, Stockholm SE-182 88, Sweden., Viberg F; Department of Clinical Sciences, Karolinska Institutet, Danderyd University Hospital, Stockholm SE-182 88, Sweden., Dahlberg E; Modulai AB, Stockholm, Sweden., Charlton PH; Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK., Kemp Gudmundsdottir K; Department of Clinical Sciences, Karolinska Institutet, Danderyd University Hospital, Stockholm SE-182 88, Sweden., Mant J; Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK., Hörnlund JL; Modulai AB, Stockholm, Sweden., Svennberg E; Department of Medicine, Karolinska Institutet, Karolinska University Hospital, Huddinge, Stockholm, Sweden.

Publikováno v: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology [Europace] 2023 Apr 15; Vol. 25 (4), pp. 1332-1338.