Congestive Heart Failure

Small Intracerebral Hemorrhage: Baseline CT Edema-to-Hematoma Ratio as an Independent Predictor of Early Expansion.

BACKGROUND AND PURPOSE: Small intracerebral hemorrhage (ICH), defined as baseline NCCT hematoma volu...

Perception and accuracy of an AI-based contactless wellness screening system in dental setting; a cross-sectional study.

This study evaluates the reliability and participants' responses to a contactless artificial intelli...

Validation of an Artificial Intelligence-Derived ECG Algorithm for Detecting Cardiac Amyloidosis in Patients With Heart Failure With Preserved Ejection Fraction: Clinical Application and Prognostic Implications.

BACKGROUND: Cardiac transthyretin amyloidosis (ATTR-CA) is frequently underdiagnosed and commonly pr...

Automated deep learning-based segmentation and volumetric analysis of meningiomas.

INTRODUCTION: Meningiomas are the most common primary intracranial tumors and are frequently monitor...

Quantifying inequalities and forecasting the burden of chronic kidney disease from 1990 to 2040.

Chronic kidney disease (CKD) poses a growing global health challenge. Using data from 953 locations,...

MACHINE LEARNING VERSUS PENALISED LOGISTIC REGRESSION FOR PREDICTING IN-HOSPITAL MORTALITY IN RUPTURED ABDOMINAL AORTIC ANEURYSM: A COMPARISON USING A UNIFORM VALIDATION FRAMEWORK.

BACKGROUND: Ruptured abdominal aortic aneurysm (rAAA) remains associated with substantial in-hospita...

Left Atrial Stiffness Index for Refining Diastolic Stress Test Selection in Suspected Heart Failure With Preserved Ejection Fraction.

INTRODUCTION: Diagnosing heart failure with preserved ejection fraction (HFpEF) remains challenging ...

Artificial intelligence-enabled electrocardiography for detection of left ventricular diastolic dysfunction: a systematic review and meta-analysis.

Left ventricular diastolic dysfunction (LVDD) is an early precursor to heart failure with preserved ...

AI-ECG Detection of Structural Heart Disease in the Community Setting: Transportability and Spectrum Effects in the PREVUE-VALVE Study.

BACKGROUND: Artificial intelligence (AI) diagnostic models are typically developed in hospital-based...

Comparative analysis of machine learning techniques for cardiovascular disease prediction.

BACKGROUND AND OBJECTIVES: Early and accurate prediction of cardiovascular disease (CVD) is fundamen...

Evaluating sex bias in artificial intelligence-based echocardiographic analysis: a retrospective study on individuals with normal cardiac function and patients with systolic and diastolic dysfunction.

BACKGROUND: Artificial intelligence (AI) has the potential to improve echocardiography. However, AI ...

The role of dataset integrity, calibration and signal quality in neural network-based blood pressure estimation.

Cuffless blood pressure (BP) estimation via photoplethysmography (PPG) and machine learning has been...

Circulating fatty acids and atrial cardiomyopathy:a fat risk for atrial fibrillation?

Integrating Quantitative CT Biomarkers to Enhance COPD Detection in the HANSE Lung Cancer Screening Program.

BACKGROUND: Lung cancer screening offers an opportunity to enhance COPD detection among adults expos...

Thigh muscle volume change is associated with longitudinal structural and functional knee osteoarthritis progression - Data from the osteoarthritis initiative.

OBJECTIVE: To investigate the association of change in thigh muscle volume (TMV) with structural kne...

Development and External Validation of an AI-ECG Algorithm for Estimating Elevated Serum NT-proBNP Levels.

BACKGROUND: N-terminal pro-B-type natriuretic peptide (NT-proBNP) is a cornerstone biomarker for the...

PREDICTIVE OCT BIOMARKERS OF RETINAL CHANGES AND VISUAL OUTCOMES IN SILICONE OIL ENDOTAMPONADE IDENTIFIED BY ARTIFICIAL INTELLIGENCE.

PURPOSE: To quantify retinal layer changes and visual outcomes in eyes with silicone oil (SO) endota...

A two-stage deep learning referral system with progressive training for diabetic retinopathy screening and severity grading.

Diabetic Retinopathy (DR) affects millions of people worldwide, but screening at population-scale is...

Construction of an associative model for prolonged intensive care unit stay in sepsis patients combined with myocardial injury.

OBJECTIVE: This study aimed to identify the factors contributing to Prolonged Length of Stay (PLOS) ...

Artificial Intelligence-Enabled Electrocardiography for Monitoring Serum Potassium Dynamics in Patients With Severe Hypokalemia.

RATIONALE & OBJECTIVE: Severe hypokalemia requires prompt management and close surveillance. Althoug...

AI-Derived Score to Predict Effort Intolerance and Adverse Outcome across the Heart Failure Spectrum.

AIMS: To develop and externally validate an artificial intelligence (AI)-driven model to predict eff...