Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice
and research. The exponential rise in technology powered by AI is defining new frontiers in …

Artificial intelligence and machine learning are driving a paradigm shift in medicine,
promising data-driven, personalized solutions for managing diabetes and the excess …

Importance Traditional models for predicting in-hospital mortality for patients with heart
failure (HF) have used logistic regression and do not account for social determinants of …

Limited information is available on the links between heavy metals' exposure and coronary
heart disease (CHD). We aim to establish an efficient and explainable machine learning …

Cardiovascular disease (CVD) is the leading cause of death worldwide and is a global
health issue. Traditionally, statistical models are used commonly in the risk prediction and …

Established guidelines describe minimum requirements for reporting algorithms in
healthcare; it is equally important to objectify the characteristics of ideal algorithms that …

Abstract Background Acute Myocardial Infarction (AMI) is the leading cause of death in
Portugal and globally. The present investigation created a model based on machine …

This article presents some of the most important developments in the field of digital medicine
that have appeared over the last 12 months and are related to cardiovascular medicine. The …

Background Individualized risk prediction represents a prerequisite for providing
personalized medicine. Objectives This study compared proteomics-enabled machine …

Background A series of novel inflammation-related indexes has been confirmed to be
efficient indicators of human immune and inflammatory status, with great potential as …