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Cardiology Subcategories: Acute Coronary Syndrome Arrhythmias Atherosclerosis Congestive Heart Failure Dyslipidemia Hypertension Metabolic Syndrome Myocardial Infarction PCI Peripheral Artery Disease Prevention Strokes Venous Thrombosis

Showing 1072-1092 of 8,527 articles

First nomogram for predicting interstitial lung disease and pulmonary arterial hypertension in SLE: a machine learning approach.

BACKGROUND: Interstitial lung disease (ILD) and pulmonary arterial hypertension (PAH) are severe, li...

May 2025 40413556

4D-CTA Image and geometry dataset for kinematic analysis of abdominal aortic aneurysms

This article presents a dataset used in the article "Kinematics of Abdominal Aortic Aneurysms", pu...

(1)

May 2025 http://arxiv.org/abs/2505.17647v2

4D-CTA Image and geometry dataset for kinematic analysis of abdominal aortic aneurysms

This article presents a dataset used in the article "Kinematics of Abdominal Aortic Aneurysms" [ar...

May 2025 http://arxiv.org/abs/2505.17647v1

Predicting cardiovascular risk with hybrid ensemble learning and explainable AI.

Cardiovascular diseases (CVDs) are still one of the leading causes of death globally, underscoring t...

May 2025 40410273

Triple cardiovascular disease detection with an artificial intelligence-enabled stethoscope (TRICORDER): design and rationale for a decentralised, real-world cluster-randomised controlled trial and implementation study.

INTRODUCTION: Early detection of cardiovascular disease in primary care is a public health priority,...

(2)

May 2025 40398956

Long Short-Term Memory Network for Accelerometer-Based Hypertension Classification.

This study investigates the application of a Long Short-Term Memory (LSTM) architecture for classify...

May 2025 40380612

Integrating Natural Language Processing and Exercise Monitoring for Early Diagnosis of Metabolic Syndrome: A Deep Learning Approach

Metabolic syndrome (MetS) is a medication condition characterized by abdominal obesity, insulin re...

(1)

May 2025 http://arxiv.org/abs/2505.08628v1

Predicting dementia in people with Parkinson's disease.

Parkinson's disease (PD) exhibits a variety of symptoms, with approximately 25% of patients experien...

May 2025 40360514

AI-Enabled Accurate Non-Invasive Assessment of Pulmonary Hypertension Progression via Multi-Modal Echocardiography

Echocardiographers can detect pulmonary hypertension using Doppler echocardiography; however, accu...

(1)

May 2025 http://arxiv.org/abs/2505.07347v1

Investigating the correlation between smoking and blood pressure via photoplethysmography.

Smoking has been widely identified for its detrimental effects on human health, particularly on the ...

May 2025 40355864

[Pulmonary vascular interventions: innovating through adaptation and advancing through differentiation].

Pulmonary vascular intervention technology, with its minimally invasive and precise advantages, has ...

May 2025 40300864

A Dataset and Toolkit for Multiparameter Cardiovascular Physiology Sensing on Rings

Smart rings offer a convenient way to continuously and unobtrusively monitor cardiovascular physio...

May 2025 http://arxiv.org/abs/2505.04172v2

Cardiovascular function changes following lung resection: a computational model to compare afterload increase and contractility loss mechanisms

Functional limitation after lung resection surgery has been consistently documented in clinical st...

May 2025 http://arxiv.org/abs/2505.01264v1

Deep Learning-based Aligned Strain from Cine Cardiac MRI for Detection of Fibrotic Myocardial Tissue in Patients with Duchenne Muscular Dystrophy.

Purpose To develop a deep learning (DL) model that derives aligned strain values from cine (noncontr...

May 2025 40008976

Apr 2025 http://arxiv.org/abs/2504.04739v1

Cardiovascular

Browse Categories

First nomogram for predicting interstitial lung disease and pulmonary arterial hypertension in SLE: a machine learning approach.

4D-CTA Image and geometry dataset for kinematic analysis of abdominal aortic aneurysms

4D-CTA Image and geometry dataset for kinematic analysis of abdominal aortic aneurysms

Predicting cardiovascular risk with hybrid ensemble learning and explainable AI.

Triple cardiovascular disease detection with an artificial intelligence-enabled stethoscope (TRICORDER): design and rationale for a decentralised, real-world cluster-randomised controlled trial and implementation study.

Long Short-Term Memory Network for Accelerometer-Based Hypertension Classification.

Integrating Natural Language Processing and Exercise Monitoring for Early Diagnosis of Metabolic Syndrome: A Deep Learning Approach

Predicting dementia in people with Parkinson's disease.

AI-Enabled Accurate Non-Invasive Assessment of Pulmonary Hypertension Progression via Multi-Modal Echocardiography

Investigating the correlation between smoking and blood pressure via photoplethysmography.

[Pulmonary vascular interventions: innovating through adaptation and advancing through differentiation].

A Dataset and Toolkit for Multiparameter Cardiovascular Physiology Sensing on Rings

Cardiovascular function changes following lung resection: a computational model to compare afterload increase and contractility loss mechanisms

Deep Learning-based Aligned Strain from Cine Cardiac MRI for Detection of Fibrotic Myocardial Tissue in Patients with Duchenne Muscular Dystrophy.

Anatomy-derived 3D Aortic Hemodynamics Using Fluid Physics-informed Deep Learning.

Accelerated 3D-3D rigid registration of echocardiographic images obtained from apical window using particle filter

FineQ: Software-Hardware Co-Design for Low-Bit Fine-Grained Mixed-Precision Quantization of LLMs

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI

SCALE-Sim v3: A modular cycle-accurate systolic accelerator simulator for end-to-end system analysis

Low-Bit Integerization of Vision Transformers using Operand Reodering for Efficient Hardware

MedGNN: Capturing the Links Between Urban Characteristics and Medical Prescriptions

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