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Pacing and Clinical Electrophysiology : PACE|July 30, 2019
Association between the Charlson comorbidity index and outcomes after implantable cardioverter defibrillator generator replacementMustapha M Amin, Chance M Witt, Jonathan W Waks, et al.
NPJ Digital Medicine|June 25, 2024
Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic diseaseLibor Pastika, Arunashis Sau, Konstantinos Patlatzoglou, et al.
European Heart Journal|July 16, 2025
Artificial intelligence-enhanced electrocardiography to predict regurgitant valvular heart diseases: an international studyYixiu Liang, Arunashis Sau, Boroumand Zeidaabadi, et al.
Circulation. Arrhythmia and Electrophysiology|October 26, 2018
Risk of Appropriate Therapy and Death Before Therapy After Implantable Cardioverter-Defibrillator Generator ReplacementChance M Witt, Jonathan W Waks, Ramila A Mehta, et al.
Heart Rhythm|November 7, 2012
Independent multicenter study of Riata and Riata ST implantable cardioverter-defibrillator leadsRaed H Abdelhadi, Samir F Saba, Christopher R Ellis, et al.
Journal of the American Heart Association|June 18, 2025
Revisiting Abnormalities of Ventricular Depolarization: Redefining Phenotypes and Associated Outcomes Using Tree-Based Dimensionality ReductionMehak Gurnani, Konstantinos Patlatzoglou, Joseph Barker, et al.
The Lancet. Digital Health|February 26, 2022
Advancing digital health applications: priorities for innovation in real-world evidence generationAriel D Stern, Jan Brönneke, Jörg F Debatin, et al.
Cardiovascular Digital Health Journal|April 27, 2023
Artificial intelligence-enabled electrocardiogram to distinguish atrioventricular re-entrant tachycardia from atrioventricular nodal re-entrant tachycardiaArunashis Sau, Safi Ibrahim, Daniel B Kramer, et al.
Scientific Reports|December 5, 2022
A fully-automated paper ECG digitisation algorithm using deep learningHuiyi Wu, Kiran Haresh Kumar Patel, Xinyang Li, et al.
Genome Medicine|October 10, 2025
Unsupervised feature extraction using deep learning empowers discovery of genetic determinants of the electrocardiogramEwa Sieliwonczyk, Arunashis Sau, Konstantinos Patlatzoglou, et al.
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