Aims The aim of the present paper was to provide an up‐to‐date view on epidemiology and
risk factors of heart failure (HF) development after myocardial infarction. Methods and results …

Heart failure is the most common cardiovascular reason for hospital admission for people
older than 60 years of age. Few areas in medicine have progressed as remarkably as heart …

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

Remarkable recent advances have revolutionized the field of heart failure. Survival has
improved among individuals with heart failure and a reduced ejection fraction and for the …

Background: Implantable cardiac sensors have shown promise in reducing rehospitalization
for heart failure (HF), but the efficacy of noninvasive approaches has not been determined …

Cardiac resynchronization therapy (CRT) is one of the most effective therapies for heart
failure with reduced ejection fraction and leads to improved quality of life, reductions in heart …

Artificial Intelligence (AI) performs human intelligence-dependant tasks using tools such as
Machine Learning, and its subtype Deep Learning. AI has incorporated itself in the field of …

Abstract Machine learning (ML) is a sub-field of artificial intelligence that uses computer
algorithms to extract patterns from raw data, acquire knowledge without human input, and …

The possibilities and implementation of wearable cardiac monitoring beyond atrial fibrillation
are increasing continuously. This review focuses on the real-world use and evolution of …

Early telemonitoring of weights and symptoms did not decrease heart failure hospitalizations
but helped identify steps toward effective monitoring programs. A signal that is accurate and …