Global experts update heart failure definition to improve prevention, diagnosis and care

A new international expert consensus document refines and updates how heart failure is identified and classified, aiming to ...
AHA/ASA Journals

AHA/ACC/ESC/WHF Expert Consensus Document: Second Universal Definition of Heart Failure (2026)

Heart failure (HF) remains a pressing health concern, with rising prevalence globally. Subjectivity and ambiguity in the ...
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 ...
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 ...