Congestive Heart Failure - Page 71 | AI Medical Compendium

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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 1471-1491 of 4,489 articles

Cardiac MRI Semantic Segmentation for Ventricles and Myocardium using Deep Learning

Automated noninvasive cardiac diagnosis plays a critical role in the early detection of cardiac di...

Apr 2025 http://arxiv.org/abs/2504.13391v1

Chest X-ray Classification using Deep Convolution Models on Low-resolution images with Uncertain Labels

Deep Convolutional Neural Networks have consistently proven to achieve state-of-the-art results on...

Apr 2025 http://arxiv.org/abs/2504.09033v1

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

Pre-trained vision transformers have achieved remarkable performance across various visual tasks b...

Apr 2025 http://arxiv.org/abs/2504.18547v1

Electrocardiogram-based deep learning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study.

BACKGROUND: Left ventricular systolic dysfunction (LVSD) is independently associated with cardiovasc...

Apr 2025 40148010

Explainable AI-Guided Efficient Approximate DNN Generation for Multi-Pod Systolic Arrays

Approximate deep neural networks (AxDNNs) are promising for enhancing energy efficiency in real-wo...

(3)

Mar 2025 http://arxiv.org/abs/2503.16583v1

Cardiomyopathy Diagnosis Model from Endomyocardial Biopsy Specimens: Appropriate Feature Space and Class Boundary in Small Sample Size Data

As the number of patients with heart failure increases, machine learning (ML) has garnered attenti...

Mar 2025 http://arxiv.org/abs/2503.11331v1

Evaluation of state-of-the-art deep learning models in the segmentation of the heart ventricles in parasternal short-axis echocardiograms

Previous studies on echocardiogram segmentation are focused on the left ventricle in parasternal l...

(2)

Mar 2025 http://arxiv.org/abs/2503.08970v1

A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation

Mutual Information (MI) is a crucial measure for capturing dependencies between variables, but exa...

Mar 2025 http://arxiv.org/abs/2503.08902v1

Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation

Multi-contrast magnetic resonance imaging (MRI) plays a vital role in brain tumor segmentation and...

(1)

Mar 2025 http://arxiv.org/abs/2503.05682v1

CORDIC Is All You Need

Artificial intelligence necessitates adaptable hardware accelerators for efficient high-throughput...

Mar 2025 http://arxiv.org/abs/2503.11685v1

Estimating Blood Pressure with a Camera: An Exploratory Study of Ambulatory Patients with Cardiovascular Disease

Hypertension is a leading cause of morbidity and mortality worldwide. The ability to diagnose and ...

Mar 2025 http://arxiv.org/abs/2503.00890v1

Artificial Intelligence-Guided Lung Ultrasound by Nonexperts.

IMPORTANCE: Lung ultrasound (LUS) aids in the diagnosis of patients with dyspnea, including those wi...

Mar 2025 39813064

A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Recent advancements in AI and medical imaging offer transformative potential in emergency head CT ...

Feb 2025 http://arxiv.org/abs/2502.21106v1

T1-PILOT: Optimized Trajectories for T1 Mapping Acceleration

Cardiac T1 mapping provides critical quantitative insights into myocardial tissue composition, ena...

Feb 2025 http://arxiv.org/abs/2502.20333v1

RURANET++: An Unsupervised Learning Method for Diabetic Macular Edema Based on SCSE Attention Mechanisms and Dynamic Multi-Projection Head Clustering

Diabetic Macular Edema (DME), a prevalent complication among diabetic patients, constitutes a majo...

Feb 2025 http://arxiv.org/abs/2502.20224v2

On Aggregation Queries over Predicted Nearest Neighbors

We introduce Aggregation Queries over Nearest Neighbors (AQNNs), a novel type of aggregation queri...

(3)

Feb 2025 http://arxiv.org/abs/2502.18803v1

Subclass Classification of Gliomas Using MRI Fusion Technique

Glioma, the prevalent primary brain tumor, exhibits diverse aggressiveness levels and prognoses. P...

(1)

Feb 2025 http://arxiv.org/abs/2502.18775v1

TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration

Acute Coronary Syndromes (ACS), including ST-segment elevation myocardial infarctions (STEMI) and ...

Feb 2025 http://arxiv.org/abs/2502.17049v2

Denoising, segmentation and volumetric rendering of optical coherence tomography angiography (OCTA) image using deep learning techniques: a review

Optical coherence tomography angiography (OCTA) is a non-invasive imaging technique widely used to...

Feb 2025 http://arxiv.org/abs/2502.14935v1

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination

Deploying mixed-precision neural networks on edge devices is friendly to hardware resources and po...

Feb 2025 http://arxiv.org/abs/2502.00687v1

Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study.

BACKGROUND: Point-of-care ultrasonography (POCUS) enables cardiac imaging at the bedside and in comm...

Feb 2025 39890242