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Artificial Intelligence for the Detection and Treatment of Atrial Fibrillation
AI in AF

Article

Author(s): David M Harmon , Ojasav Sehrawat , Maren Maanja , et al Added: 1 year ago

Electrophysiology & Arrhythmia

Digital Health
Big Data and Artificial Intelligence: Opportunities and Threats in Electrophysiology
Author(s): Rutger R van de Leur , Machteld J Boonstra , Ayoub Bagheri , et al Added: 3 years ago
Clinical research that uses artificial intelligence (AI) and big data may aid the prediction and/or detection of subclinical cardiovascular diseases by providing additional knowledge about disease onset, progression or outcome. Clinical decision-making, disease diagnostics, risk prediction or individualised therapy may be informed by insights obtained from AI algorithms. As health records have… View more

Electrophysiology & Arrhythmia

Digital Health
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
Machine Learning and Stroke Risk Prediction
Author(s): Yaacoub Chahine , Matthew J Magoon , Bahetihazi Maidu , et al Added: 1 year ago

Prevention & Chronic Conditions
AI in Ventricular Arrhythmias and Sudden Death
Author(s): Lauri Holmström , Frank Zijun Zhang , David Ouyang , et al Added: 10 months ago

Electrophysiology & Arrhythmia

Digital Health
Primer on Machine Learning in Electrophysiology
Author(s): Shane E Loeffler , Natalia A Trayanova Added: 1 year ago

Imaging & Diagnostics

Electrophysiology & Arrhythmia
Applications of Machine Learning in Cardiac Electrophysiology
Author(s): Rahul G Muthalaly , Robert M Evans Added: 3 years ago
Artificial intelligence (AI) has recently become a popular term in the technological world. AI refers to the simulation of human intelligence with the capacity for achieving goals within computers. Machine learning (ML) – a subtype of AI – refers to a statistical model that is able to independently learn to make inferences on new data based on data it has previously analysed. ML has markedly… View more

Electrophysiology & Arrhythmia

Digital Health
Author(s): Emily Shipley , Martha Joddrell , Gregory YH Lip , et al Added: 2 years ago

Electrophysiology & Arrhythmia

Digital Health
AF Symposium 2024
Start date: Feb 01, 2024 End date: Feb 03, 2024
The 29th Annual International AF Symposium is taking place from February 1st to 3rd, 2024, at the Omni Boston Hotel at the Seaport. This symposium, initiated in 1995 to combat the growing epidemic of atrial fibrillation, has evolved into a premier scientific forum. Here, healthcare professionals gain exclusive access to cutting-edge research and therapeutic advancements from leading investigators… 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