The rapid growth in computational power, sensor technology, and wearable devices has
provided a solid foundation for all aspects of cardiac arrhythmia care. Artificial intelligence …

The field of cardiac electrophysiology (EP) had adopted simple artificial intelligence (AI)
methodologies for decades. Recent renewed interest in deep learning techniques has …

The increased burden of arrhythmias among general population over the last decades has
highlighted the need for new technologies to provide more accurate diagnosis and proper …

Artificial intelligence (AI) and machine learning (ML) have significantly impacted the field of
cardiovascular medicine, especially cardiac electrophysiology (EP), on multiple fronts. The …

Cardiovascular health-related problem is a rapidly increasing integrated field concerning the
processing and fetching the information from cardiovascular systems for early detection and …

The management of cardiac rhythm disorders has been revolutionized by the progress in
hardware and software for the recording, storage, processing, and transfer of …

The testing and evaluation of cardiac arrhythmia requires the use of Electro cardio gram
(ECG), a diagnostic tool. Cardiac arrhythmia refers to abnormalities in the rate of the …

In the health care and medical domain, it has been proven challenging to diagnose correctly
many diseases with complicated and interferential symptoms, including arrhythmia …

Artificial intelligence (AI) has shown great potential in revolutionizing the diagnosis,
treatment, and management of various cardiac arrhythmias, including atrial fibrillation and …

One of the fatal diseases in the world is heart disease. Every year, millions of people die of
cardiovascular diseases. However, one can decrease the mortality rates if the heart disease …