Cardiovascular

Congestive Heart Failure

Latest AI and machine learning research in congestive heart failure for healthcare professionals.

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Showing 1240-1260 of 3,596 articles
Regional End-Systolic Circumferential Strain Demonstrates Reduced Function in Remote Myocardium after Anterior STEMI

Anterior ST-segment elevation myocardial infarction (STEMI) is associated with severe adverse remo...

Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-Widefield Fundus Imaging

Diabetic retinopathy and diabetic macular edema are significant complications of diabetes that can...

Shaping the future of heart health.

For World Heart Day on September 24, 2024, the World Heart Federation urges nations to endorse natio...

Sep 2024 39276765
Towards consistency in pediatric brain tumor measurements: Challenges, solutions, and the role of artificial intelligence-based segmentation.

MR imaging is central to the assessment of tumor burden and changes over time in neuro-oncology. Sev...

Sep 2024 38769022
Anatomy-specific Progression Classification in Chest Radiographs via Weakly Supervised Learning.

Purpose To develop a machine learning approach for classifying disease progression in chest radiogra...

Sep 2024 39046325
Explainable machine learning prediction of edema adverse events in patients treated with tepotinib.

Tepotinib is approved for the treatment of patients with non-small-cell lung cancer harboring MET ex...

Sep 2024 39222377
The evolution of systems biology and systems medicine: From mechanistic models to uncertainty quantification

Understanding the mechanisms of interactions within cells, tissues, and organisms is crucial to dr...

Machine learning and experimental validation of novel biomarkers for hypertrophic cardiomyopathy and cancers.

Hypertrophic cardiomyopathy (HCM) is a hereditary cardiac disorder marked by anomalous thickening of...

Aug 2024 39160643
EdgeLLM: A Highly Efficient CPU-FPGA Heterogeneous Edge Accelerator for Large Language Models

The rapid advancements in artificial intelligence (AI), particularly the Large Language Models (LL...

Through the Looking Glass Darkly: How May AI Models Influence Future Underwriting?

Applications of Artificial Intelligence (AI) deep-learning models to screening for clinical conditio...

Jul 2024 39266001
Unlocking Hidden Risks: Harnessing Artificial Intelligence (AI) to Detect Subclinical Conditions from an Electrocardiogram (ECG).

Recent artificial intelligence (AI) advancements in cardiovascular medicine offer potential enhancem...

Jul 2024 39266002
Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques.

Pancreatitis is a major public health issue world-wide; studies show an increase in the number of pe...

Jul 2024 40039000
Deep Learning for identifying systolic complexes in SCG traces: a cross-dataset analysis.

The seismocardiographic signal is a promising alternative to the traditional ECG in the analysis of ...

Jul 2024 40039595
Minimally invasive monitor of cardiac output based on the machine-learning analysis of the pulse contour of the peripheral arterial pressure.

In the hemodynamic management of anesthetized patients during surgical operation, minimally invasive...

Jul 2024 40040149
Can Generative AI Learn Physiological Waveform Morphologies? A Study on Denoising Intracardiac Signals in Ischemic Cardiomyopathy.

Reducing electrophysiological (EP) signal noise is essential for diagnosis, mapping, and ablation, y...

Jul 2024 40040169
[Prediction of risk of in-hospital death in patients with chronic heart failure complicated by lung infections using interpretable machine learning].

OBJECTIVE: To predict the risk of in-hospital death in patients with chronic heart failure (CHF) com...

Jun 2024 38977344
An open dataset of article processing charges from six large scholarly publishers (2019-2023)

This paper introduces a dataset of article processing charges (APCs) produced from the price lists...

An Open-Source Framework for Efficient Numerically-Tailored Computations

We present a versatile open-source framework designed to facilitate efficient, numerically-tailore...

Dissecting unique and common variance across body and brain health indicators using age prediction.

Ageing is a heterogeneous multisystem process involving different rates of decline in physiological ...

Apr 2024 38647042
Deep learning to assess right ventricular ejection fraction from two-dimensional echocardiograms in precapillary pulmonary hypertension.

BACKGROUND: Precapillary pulmonary hypertension (PH) is characterized by a sustained increase in rig...

Apr 2024 38634241
Visualization of Optic Nerve Structural Patterns in Papilledema Using Deep Learning Variational Autoencoders.

PURPOSE: To visualize and quantify structural patterns of optic nerve edema encountered in papillede...

Jan 2024 38231498
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