The Role of Artificial Intelligence in Coronary Artery Disease and Atrial Fibrillation

An Artificial Intelligence-Enabled ECG Algorithm for Predicting the Risk of Recurrence in Patients with Paroxysmal Atrial Fibrillation after Catheter Ablation

(2023) Junrong Jiang et al.   Journal of Clinical Medicine

AFA-Recur: an ESC EORP AFA-LT registry machine-learning web calculator predicting atrial fibrillation recurrence after ablation

(2022) Andrea Saglietto et al.   EUROPACE

Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning

(2022) Burak Koçak et al.   Balkan Medical Journal

Short- and long-term mortality prediction after an acute ST-elevation myocardial infarction (STEMI) in Asians: A machine learning approach

(2021) Firdaus Aziz et al.   PLoS One

Machine Learning To Predict Stent Restenosis Based On Daily Demographic, Clinical And Angiographic Characteristics

(2020) Jesús Sampedro-Gómez et al.   CANADIAN JOURNAL OF CARDIOLOGY

Deep learning for cardiovascular medicine: a practical primer

(2019) Chayakrit Krittanawong et al.   EUROPEAN HEART JOURNAL

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

(2019) Zachi I Attia et al.   LANCET

Virtual Coronary Intervention

(2018) Rebecca C. Gosling et al.   JACC-Cardiovascular Imaging

Tailored Atrial Substrate Modification Based on Low-Voltage Areas in Catheter Ablation of Atrial Fibrillation

(2014) Sascha Rolf et al.   Circulation-Arrhythmia and Electrophysiology