Deriving novel atrial fibrillation phenotypes using a tree-based artificial intelligence-enhanced electrocardiography approach
Year: 2025
Type: article
Language: en
Topic: Atrial Fibrillation Management and Outcomes
Authors and affiliations:
raw_author_name: Mehak Gurnani
raw_affiliation_strings: National Heart and Lung Institute, Imperial College London, London, UK
raw_author_name: Konstantinos Patlatzoglou
raw_affiliation_strings: National Heart and Lung Institute, Imperial College London, London, UK
raw_author_name: Joseph Barker
raw_affiliation_strings: Department of Cardiology, Imperial College Healthcare NHS Trust, London, UK
National Heart and Lung Institute, Imperial College London, London, UK
raw_author_name: Libor Pastika
raw_affiliation_strings: National Heart and Lung Institute, Imperial College London, London, UK
raw_author_name: Boroumand Zeidaabadi
raw_affiliation_strings: National Heart and Lung Institute, Imperial College London, London, UK
raw_author_name: Ibrahim Antoun
raw_affiliation_strings: Department of Cardiovascular Sciences, Leicester British Heart Foundation Centre of Research Excellence, Leicester National Institute for Health and Care Research Biomedical Research Centre, University of Leicester, Leicester, UK
raw_author_name: Riyaz Somani
raw_affiliation_strings: Department of Cardiology, Glenfield Hospital, University Hospitals of Leicester NHS Trust, Leicester, UK
Department of Cardiovascular Sciences, Leicester British Heart Foundation Centre of Research Excellence, Leicester National Institute for Health and Care Research Biomedical Research Centre, University of Leicester, Leicester, UK
raw_author_name: G. Andre Ng
raw_affiliation_strings: Department of Cardiology, Glenfield Hospital, University Hospitals of Leicester NHS Trust, Leicester, UK
Department of Cardiovascular Sciences, Leicester British Heart Foundation Centre of Research Excellence, Leicester National Institute for Health and Care Research Biomedical Research Centre, University of Leicester, Leicester, UK
raw_author_name: Paolo Inglese
raw_affiliation_strings: MRC Laboratory of Medical Sciences, Imperial College London, London, UK
raw_author_name: Lara Curran
raw_affiliation_strings: MRC Laboratory of Medical Sciences, Imperial College London, London, UK
raw_author_name: Declan O’Regan
raw_affiliation_strings: MRC Laboratory of Medical Sciences, Imperial College London, London, UK
raw_author_name: Nicholas S. Peters
raw_affiliation_strings: Department of Cardiology, Imperial College Healthcare NHS Trust, London, UK
National Heart and Lung Institute, Imperial College London, London, UK
raw_author_name: Daniel B. Kramer
raw_affiliation_strings: Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
raw_author_name: Jonathan W. Waks
raw_affiliation_strings: Harvard-Thorndike Electrophysiology Institute, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
raw_author_name: Arunashis Sau
raw_affiliation_strings: Department of Cardiology, Imperial College Healthcare NHS Trust, London, UK. arunashis.sau09@imperial.ac.uk
National Heart and Lung Institute, Imperial College London, London, UK. arunashis.sau09@imperial.ac.uk
National Heart and Lung Institute, Imperial College London, London, UK
Department of Cardiology, Imperial College Healthcare NHS Trust, London, UK
raw_author_name: Fu Siong Ng
raw_affiliation_strings: Department of Cardiology, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK. f.ng@imperial.ac.uk
Department of Cardiology, Imperial College Healthcare NHS Trust, London, UK. f.ng@imperial.ac.uk
National Heart and Lung Institute, Imperial College London, London, UK. f.ng@imperial.ac.uk
Department of Cardiology, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK