Search results

Filters
Close
ADDED DATE
Added date
AUTHOR Please select
TOPICS Please select
WATCH / LISTEN / READ TIME
Machine Learning and Stroke Risk Prediction
Author(s): Yaacoub Chahine , Matthew J Magoon , Bahetihazi Maidu , et al Added: 1 year ago

Prevention & Chronic Conditions
Primer on Machine Learning in Electrophysiology
Author(s): Shane E Loeffler , Natalia A Trayanova Added: 1 year ago

Imaging & Diagnostics

Electrophysiology & Arrhythmia
Author(s): Emily Shipley , Martha Joddrell , Gregory YH Lip , et al Added: 2 years ago

Electrophysiology & Arrhythmia

Digital Health
Sanjiv M Narayan
Research Area(s) / Expertise: Job title: Professor of Cardiovascular Medicine
Personal History Prof Sanjiv M. Narayan was born on April 29, 1964, in Aylesbury, Buckinghamshire before his parents moved to Birmingham, UK.1 He is a cardiac electrophysiologist and speaks English, French and Hindi.4 As a child, he was fascinated with computers but then decided to follow in his father’s footsteps and became a doctor and a computer engineer.2 In the field of cardiac… View more
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
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
Artificial Intelligence, Superintelligence and Intelligence
Author(s): Demosthenes G Katritsis Added: 2 years ago

Electrophysiology & Arrhythmia

Digital Health
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
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
Defining Left Bundle Branch Block Patterns in Cardiac Resynchronisation Therapy: A Return to His Bundle Recordings
Author(s): Roderick Tung , Gaurav A Upadhyay Added: 3 years ago
In 1970, Durrer et al. recorded the total excitation of the human heart with 870 electrodes and confirmed the first 10 ms of left ventricular (LV) activation as trifascicular in nature.1 The rapid and synchronous activation of the LV through the specialised His–Purkinje network is highly intricate and efficient, preserving normal physiological coupling between electrical excitation and mechanical… View more

Electrophysiology & Arrhythmia