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The Future of EP Training: Digital, AI & Hands-On Learning
Author(s): Devi Nair , Nassir F Marrouche , Janet Han Added: 1 year ago
In this episode of Rhythm Interventions Unplugged, host Dr Devi Nair sits down with leading electrophysiologists Dr Nassir Marrouche and Dr Janet Han to explore the future of electrophysiology (EP) training in the digital age. With virtual learning, AI in cardiology, and cutting-edge EP technology transforming education, how are training programs evolving to keep up?From bite-sized digital… View more

Electrophysiology & Arrhythmia
CRT 24: SYNTAX: PCI With TAXUS and CABG in Complex Coronary Disease
Author(s): Patrick W Serruys Added: 1 year ago
CRT 2024 — Prof Patrick W Serruys (National University of Ireland, Galway, US) joins us to discuss learning from the SYNTAX trial.The SYNTAX trial is a randomized controlled trial designed to evaluate the efficacy and safety of percutaneous coronary intervention (PCI) with polymer-based paclitaxel-eluting TAXUS stents versus coronary artery bypass grafting (CABG) in patients with complex coronary… View more

Intervention

Vascular Disease and Surgery
Smartwatch Data Predicts Heart Failure Exacerbations
Added: 2 weeks ago Source:  CFR Journal
Consumer wearable devices may offer a scalable method for the daily monitoring of heart failure (HF) symptoms and predicting exacerbations. A new study has detailed how a deep learning model using Apple Watch data can estimate cardiopulmonary fitness and provide early risk discrimination for unplanned healthcare events in patients with HF.¹MethodologyThe Ted Rogers Understanding Exacerbations of… View more

Digital Health

Heart Failure
Andre Esteva
Andre Esteva obtained his PhD in Artificial Intelligence at Stanford, advised by Sebastian Thrun and co-advised by Stephen Boyd, authoring 11 publications which have been cited over 2300 times and covered by over 200 news outlets. His research was in deep learning and computer vision, with applications built for dermatology, drug screening, neuroscience, and psychiatrAndre Estevay. He finished… View more
New Innovations to Address Sudden Cardiac Arrest
Author(s): Christine Shen , Sanjeev P Bhavnani , John D Rogers Added: 1 year ago

Electrophysiology & Arrhythmia
EHRA 24: AI-Enabled Single-Lead ECG Can Unmask Conduction Tissue Disease
Author(s): Laurent Fiorina Added: 2 years ago
EHRA 24 - In this short interview, we are joined by Dr Laurent Fiorina (Cardiovascular Institute Paris-Sud (ICPS), FR) joins us to discuss the findings from a clinical investigation into diagnosing conduction tissue disease using an AI-enabled single-lead coronary ECG device.This observational, prospective clinical trial aims to investigate the performance of an artificial intelligence algorithm… View more

Imaging & Diagnostics

Electrophysiology & Arrhythmia
DELINEATE-Regurgitation: AI Accurately Classifies Valvular Regurgitation and Predicts MR Progression
Added: 8 months ago Source:  Radcliffe Cardiology
The classification and risk stratification of aortic, mitral, and tricuspid regurgitation present significant clinical challenges, with diagnosis often subject to interobserver variability. The DELINEATE-Regurgitation study investigated a novel artificial intelligence (AI) system designed to provide accurate, reproducible echocardiographic assessment of valvular regurgitation and to stratify the… View more

Digital Health

Guidelines & Statements
Ep 5: The Future of EP Training: Digital, AI & Hands-On Learning
Added: 1 year ago
In this episode of Rhythm Interventions Unplugged, host Dr Devi Nair sits down with leading electrophysiologists Dr Nassir Marrouche and Dr Janet Han to explore the future of electrophysiology (EP) training in the digital age. With virtual learning, AI in cardiology, and cutting-edge EP technology transforming education, how are training programs evolving to keep up?From bite-sized digital… View more

Electrophysiology & Arrhythmia
Amod Amritphale
Research Area(s) / Expertise:

Intervention

 Job title: Interventional Cardiologist and Director of Cardiovascular Research
DrAmod Amritphale is an interventional cardiologist and the Director of Cardiovascular Research at the University of South Alabama, AL, US. He is a pioneer and an authority in the use of artificial intelligence and machine learning models for predictive modelling and exploring core outcomes in cardiovascular disease.He is also extensively involved in research involving coronary artery disease,… View more
Kazem Rahimi
Kazem Rahimi is a Professor of Cardiovascular Medicine and Population Health, at the University of Oxford and a consultant cardiologist at the Oxford University Hospitals NHS Trust in Oxford, UK.His research interests include hypertension, heart failure, multimorbidity and cardiovascular risk management, using a variety of methodologies such as individual-patient meta-analysis, large-scale… View more