A new big data-based predictive model developed in Hong Kong enables more dynamic monitoring of six common cardiovascular ...
Atrial fibrillation (AFib) is the most common cardiac arrhythmia worldwide and a major contributor to heart failure (HF), ...
Predictive risk scores created using administrative claims and publicly available social determinants of health data strongly ...
A made-in-Calgary 4D heart model is transforming treatment for heart failure patients having a specialized pacemaker inserted ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
Researchers have trained an artificial intelligence model to extract warning signs of advanced heart failure from routine ...
Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
Researchers confirmed a four-biomarker model is more informative at younger vs older ages, with slight sex differences.
Background The Heart Failure Association Pre-test Assessment, Echocardiography and Natriuretic Peptide, Functional testing, ...