Congestive Heart Failure

Blood pressure estimation using single photoplethysmography signal based on ResNet-BiGRU.

OBJECTIVES: Conventional cuff-based blood pressure (BP) measurement provides only intermittent readi...

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort.

OBJECTIVE: Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitati...

Clinical History, Spirometry, and CT Features Can Predict Dyspnea in Smokers with and without Spirometry-Defined COPD.

Building an Extracorporeal Membrane Oxygenation Digital Twin Using High-Resolution Patient Data: An artificial intelligence model for virtual reality simulation.

OBJECTIVES: Extracorporeal membrane oxygenation (ECMO) is a life-saving therapy for severe cardiopul...

Predicting cardiopulmonary exercise testing outcomes in congenital heart disease through multimodal data integration and geometric learning.

Cardiopulmonary exercise testing (CPET) provides a comprehensive assessment of functional capacity b...

Integrating machine learning and SHAP analysis to identify the risk of cognitive frailty in older adults with chronic heart failure.

BACKGROUND: Accurately identifying older adults with chronic heart failure (CHF) at high risk of cog...

Prediction of hemorrhagic transformation after intravenous thrombolysis in acute anterior circulation ischemic stroke through radiomics-based machine learning models.

BACKGROUND: Hemorrhagic transformation (HT) and its associated neurological deterioration remain maj...

Optimization and External Validation of a Deep Learning Model for Segmentation and Quantification of Traumatic Brain Injury Lesions on Head Computed Tomography.

Current methods for radiological classification in traumatic brain injury (TBI), such as the Marshal...

Characteristics, cost/effect consideration of clinical examinations, and construction of machine learning models of restrictive cardiomyopathy: insights from Peking Union Medical College Hospital.

Identifying a fatty acid metabolic gene signature in diabetic cardiomyopathy through integrated bioinformatics and machine learning.

BACKGROUND: Diabetic cardiomyopathy (DCM) is a major cardiovascular complication of diabetes mellitu...

Conversational AI for remote monitoring in heart failure: a prospective controlled pilot study.

AIMS: Heart failure (HF) requires scalable strategies to detect decompensation early and reduce hosp...

Abnormal Lipid Signaling Characterizes Diastolic Dysfunction in Pediatric Cardiomyopathy.

Pediatric cardiomyopathy is a major cause of diastolic heart failure; yet, its mechanisms remain unc...

Investigating feature-engineered predictors for systolic blood pressure changes in an mHealth-based disease management program.

Mobile health (mHealth)-based disease management programs enable continuous monitoring of blood pres...

Application of machine learning approaches to develop predictive models for diabetes and hypertension among Bangladeshi Adults.

With rapid urbanization, lifestyle changes, and an aging population, non-communicable diseases (NCDs...

PANI E-skin Inspired by Microridge Structure and the Collaborative Mechanism of Mechanoreceptors for Elderly Health Monitoring and Intelligent Recognition of Abnormal Plantar Pressures.

Human skin, with its microridge structure and synergistic mechanoreceptors, precisely perceives stim...

Detection and prognostic stratification of left ventricular systolic dysfunction in left bundle branch block using an artificial intelligence-enabled electrocardiography.

BACKGROUND: Left bundle branch block (LBBB) significantly increases the risk of left ventricular sys...

Early prediction of transfusion requirements in trauma patients using explainable machine learning.

INTRODUCTION: Hemorrhagic shock is the most common preventable cause of death in trauma patients. Ea...

Personalized sepsis mortality prediction: An interpretable machine learning nomogram.

PURPOSE: Sepsis remains a major cause of mortality in ICU patients, requiring accurate prognostic to...

Robotic-Arm Assisted Multi-Apical View 3-D Fusion of Echocardiography for Enhanced Left Ventricular Assessment Using Wavelet.

OBJECTIVE: Accurate assessment of left ventricular (LV) function using three-dimensional echocardiog...

A lightweight residual dilated temporal transformer block for ECG classification on edge devices.

Wearable devices play a crucial role in healthcare by enabling continuous monitoring of vital physio...

Retinal Biomarkers for Cardiovascular Disease Prediction: A Review Focused on CHD AHD Valvular Disorders and Cardiomyopathies.

INTRODUCTION: Cardiovascular diseases (CVDs) remain the leading cause of global mortality, with cong...