Digital technology is now an integral part of medicine. Tools for detecting, screening,
diagnosis, and monitoring health-related parameters have improved patient care and …

Aims Over the past 25 years there has been a substantial development in the field of digital
electrophysiology (EP) and in parallel a substantial increase in publications on digital …

Remote monitoring is beneficial for the management of patients with cardiovascular
implantable electronic devices by impacting morbidity and mortality. With increasing …

The role of subclinical atrial fibrillation as a cause of cryptogenic stroke is unambiguously
established. Long-term electrocardiogram (ECG) monitoring remains the sole method for …

The development of artificial intelligence (AI) began in the mid-20th century but has been
rapidly accelerating in the past decade. Reflecting the development of digital health over the …

The present article reviews the state of the art of machine learning algorithms for the
detection, prediction, and management of atrial fibrillation (AF), as well as of the …

Background Holter analysis requires significant clinical resources to achieve a high‐quality
diagnosis. This study sought to assess whether an artificial intelligence (AI)‐based Holter …

Background Pacemakers (PMs) and implantable cardioverter-defibrillators (ICDs)
increasingly automatically record and remotely transmit nonsustained ventricular …

Background Electrocardiogram (ECG) is the gold standard for the diagnosis of cardiac
arrhythmias and other heart diseases. Insertable cardiac monitors (ICMs) have been …

Atrial fibrillation (AF) affects more than 30 million individuals worldwide, making it the most
prevalent cardiac arrhythmia on a global scale. This systematic review summarizes recent …