Background Electrocardiogram (ECG) is one of the most common noninvasive diagnostic
tools that can provide useful information regarding a patient's health status. Deep learning …

Cardiovascular diseases are one of the leading global causes of mortality. Currently,
clinicians rely on their own analyses or automated analyses of the electrocardiogram (ECG) …

The depth and breadth of data produced in the modern cardiac intensive care unit (CICU)
poses challenges to clinicians and researchers. Artificial intelligence (AI) and machine …

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

Artificial Intelligence (AI) is already widely used in different fields of medicine, making
possible the integration of the paraclinical exams with the clinical findings in patients, for a …

Background Identification of futile recanalisation following endovascular therapy (EVT) in
patients with acute ischaemic stroke is both crucial and challenging. Here, we present a …

One of the essential diagnostic tools of cardiac arrhythmia is activation mapping.
Noninvasive current mapping procedures include electrocardiographic imaging. It allows …

Ventricular tachycardia is a potentially life-threatening arrhythmia associated with an overall
high morbi-mortality, particularly in patients with structural heart disease. Despite their …

The field of electrophysiology (EP) has benefited from numerous seminal innovations and
discoveries that have enabled clinicians to deliver therapies and interventions that save …

Artificial intelligence, specifically advanced language models such as ChatGPT, have the
potential to revolutionize various aspects of healthcare, medical education, and research. In …