Artificial intelligence (AI) has transformed key aspects of human life. Machine learning (ML),
which is a subset of AI wherein machines autonomously acquire information by extracting …

Electrocardiogram (ECG) gives essential information about different cardiac conditions of
the human heart. Its analysis has been the main objective among the research community to …

Over the last decade, cardiovascular diseases (CVD's) are the leading cause of death
globally. Early prediction of CVD's can help in reducing the complications of high-risk …

Advances in technology have always had the potential and opportunity to shape the practice
of medicine, and in no medical specialty has technology been more rapidly embraced and …

Background Deep-learning algorithms to annotate electrocardiograms (ECGs) and classify
different types of cardiac arrhythmias with the use of a single-lead ECG input data set have …

Background The ability to accurately predict the occurrence of in‐hospital death after
percutaneous coronary intervention is important for clinical decision‐making. We sought to …

The use of artificial intelligence (AI) in healthcare is receiving increasing interest, driven by a
surge in scientific research and funding. AI has shown ophthalmologist-level performance at …

Cardiovascular diseases have been reported to be the leading cause of mortality across the
globe. Among such diseases, Myocardial Infarction (MI), also known as “heart attack”, is of …

Electrocardiogram (ECG) analysis is one of the most important techniques to classify
myocardial infarction. It is possible to diagnose that the patient may have a heart attack with …

Early detection of myocardial ischemia via electrocardiographic methods is important and
challenging. In the study, based on the standard 12-lead electrocardiography (ECG), a new …