Prevalence of right ventricular dysfunction ~40% in heart failure with preserved ejection fraction

Right ventricular dysfunction (RVD) is prevalent in 41.7% of patients with heart failure with preserved ejection fraction (HFpEF), according to a study published online June 10 in BMC Cardiovascular ...
Frontiers

Cohort-based Prognostic Analysis Research in Coronary Heart Disease and/or Heart Failure

Coronary heart disease and heart failure remain major causes of morbidity, mortality, and healthcare burden worldwide. When ...
The Lancet

Forecasting left ventricular systolic dysfunction in heart failure with artificial intelligence

aDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA bResearch Laboratory for Electronics, Massachusetts Institute of Technology ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
Nature

Plasma proteomic profiles predict individual future health risk

Developing a single-domain assay to identify individuals at high risk of future events is a priority for multi-disease and mortality prevention. By training a neural network, we developed a ...
Nature

Metabolomic profiles predict individual multidisease outcomes

Risk stratification is critical for the early identification of high-risk individuals and disease prevention. Here we explored the potential of nuclear magnetic resonance (NMR) spectroscopy-derived ...
Frontiers

Machine Learning Prediction Models for Mechanically Ventilated Patients: Analyses of the MIMIC-III Database

Background: Mechanically ventilated patients in the intensive care unit (ICU) have high mortality rates. There are multiple prediction scores, such as the Simplified Acute Physiology Score II (SAPS II ...
The Lancet

An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction

aDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA bDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA cDepartment of ...