Heart disease is one of the significant challenges in today's world and one of the leading
causes of many deaths worldwide. Recent advancement of machine learning (ML) …

Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …

Abstract Machine learning and artificial intelligence are generating significant attention in
the scientific community and media. Such algorithms have great potential in medicine for …

Heart failure is increasing in prevalence, with approximately 26 million patients affected
worldwide. This represents a significant cause of morbidity and mortality. Statistics regarding …

Purpose The field of artificial intelligence is ever growing and the applications of machine
learning in spine care are continuously advancing. Given the advent of the intelligence …

Background Machine learning (ML) is increasingly used in research for subtype definition
and risk prediction, particularly in cardiovascular diseases. No existing ML models are …

Brain stimulation (BStim) encompasses multiple modalities (eg, deep brain stimulation,
responsive neurostimulation) that utilize electrodes implanted in deep brain structures to …

Abstract Background and Objective: Survival prediction of heart failure patients is critical to
improve the prognostic management of the cardiovascular disease. The existing survival …

Background Heart failure (HF) combined with hypertension is an extremely important cause
of in-hospital mortality, especially for the intensive care unit (ICU) patients. However, under …

This collaborative statement from the International Society for Holter and Noninvasive
Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia Pacific …