Study Objectives: Machine learning (ML) models have been employed in the setting of sleep
disorders. This review aims to summarize the existing data about the role of ML techniques …

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) …

These days, in vitro functional analysis of gene variants is becoming increasingly important
for risk stratification of cardiac ion channelopathies. So far, such risk stratification has been …

Cardiac ion channelopathies encompass a set of inherited or acquired conditions that are
due to dysfunction in ion channels or their associated proteins, typically in the presence of …

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 …

Abstract Machine learning (ML), a subset of artificial intelligence (AI) centered on machines
learning from extensive datasets, stands at the forefront of a technological revolution …

Congenital cardiac ion channelopathies refer to a set of inherited conditions characterized
by abnormalities in the structure and/or function of ion channels, their associated proteins or …

Background In the field of medical imaging, machine learning and artificial intelligence (AI)
have emerged as techniques that are likely to fundamentally transform clinical practice in the …

Methods: We systematically searched electronic databases from inception until April 8,
2023, for studies on the utility of AI-or ML-based algorithms in diagnosing TTC compared …

Several suicide attempts presented at the emergency department are due to drug overdose
associated with psychiatric disorders. We examined and identified the major risk factors …