Machine learning (ML), a branch of artificial intelligence, where machines learn from big
data, is at the crest of a technological wave of change sweeping society. Cardiovascular …

Artificial intelligence (AI) is an integral part of clinical decision support systems (CDSS),
offering methods to approximate human reasoning and computationally infer decisions …

Despite significant advances in its detection, understanding and management, atrial
fibrillation (AF) remains a highly prevalent cardiac arrhythmia with a major impact on …

There is currently no other hot topic like the ability of current technology to develop
capabilities similar to those of human beings, even in medicine. This ability to simulate the …

We aim to provide a critical appraisal of basic concepts underlying signal recording and
processing technologies applied for (i) atrial fibrillation (AF) mapping to unravel AF …

A number of clinical studies have reported that diabetes mellitus (DM) is an independent risk
factor for Atrial fibrillation (AF). After adjustment for other known risk factors including age …

There has been an exponential growth of artificial intelligence (AI) and machine learning
(ML) publications aimed at advancing our understanding of atrial fibrillation (AF), which has …

Background: Pulmonary vein isolation (PVI) is an effective treatment strategy for patients
with atrial fibrillation (AF), but many experience AF recurrence and require repeat ablation …

Background: Machine learning is a promising approach to personalize atrial fibrillation
management strategies for patients after catheter ablation. Prior atrial fibrillation ablation …

Background Diabetes mellitus is a chronic disease that impacts an increasing percentage of
people each year. Among its comorbidities, diabetics are two to four times more likely to …