Cardiovascular

Congestive Heart Failure

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

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Showing 862-882 of 3,596 articles
Deep Learning for Automated Measurement of Hemorrhage and Perihematomal Edema in Supratentorial Intracerebral Hemorrhage.

Background and Purpose- Volumes of hemorrhage and perihematomal edema (PHE) are well-established bio...

Dec 2019 31805845
AOCT-NET: a convolutional network automated classification of multiclass retinal diseases using spectral-domain optical coherence tomography images.

Since introducing optical coherence tomography (OCT) technology for 2D eye imaging, it has become on...

Nov 2019 31728935
A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases.

Chronic diseases often cause several medical complications. This paper aims to predict multiple comp...

Nov 2019 31813486
Automated label-free detection of injured neuron with deep learning by two-photon microscopy.

Stroke is a significant cause of morbidity and long-term disability globally. Detection of injured n...

Oct 2019 31602806
Artificial Intelligence Meets Chinese Medicine.

As an interdisciplinary subject of medicine and artificial intelligence, intelligent diagnosis and t...

Oct 2019 31650485
A speckle-tracking strain-based artificial neural network model to differentiate cardiomyopathy type.

In heart failure, invasive angiography is often employed to differentiate ischaemic from non-ischae...

Oct 2019 31623474
Intelligent Imaging: Radiomics and Artificial Neural Networks in Heart Failure.

BACKGROUND: Our previous work with iodine meta-iodobenzylguanidine (I-mIBG) radionuclide imaging amo...

Oct 2019 31588038
Improving the clinical understanding of hypertrophic cardiomyopathy by combining patient data, machine learning and computer simulations: A case study.

Most patients with hypertrophic cardiomyopathy (HCM), the most common genetic cardiac disease, remai...

Sep 2019 31570308
Prediction of complication related death after radical cystectomy for bladder cancer with machine learning methodology.

To create a pre-operatively usable tool to identify patients at high risk of early death (within 90...

Sep 2019 31552774
Machine Learning to Predict In-Hospital Morbidity and Mortality after Traumatic Brain Injury.

Recently, successful predictions using machine learning (ML) algorithms have been reported in variou...

Sep 2019 31359814
Prediction model development of late-onset preeclampsia using machine learning-based methods.

Preeclampsia is one of the leading causes of maternal and fetal morbidity and mortality. Due to the ...

Aug 2019 31442238
Localizing B-Lines in Lung Ultrasonography by Weakly Supervised Deep Learning, In-Vivo Results.

Lung ultrasound (LUS) is nowadays gaining growing attention from both the clinical and technical wor...

Aug 2019 31425126
SVR ensemble-based continuous blood pressure prediction using multi-channel photoplethysmogram.

In this paper, a continuous non-occluding blood pressure (BP) prediction method is proposed using mu...

Aug 2019 31446317
Readmission prediction using deep learning on electronic health records.

Unscheduled 30-day readmissions are a hallmark of Congestive Heart Failure (CHF) patients that pose ...

Jul 2019 31351136
Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading.

Diabetes is a globally prevalent disease that can cause visible microvascular complications such as ...

Jul 2019 31341220
An Automatic Approach Using ELM Classifier for HFpEF Identification Based on Heart Sound Characteristics.

Heart failure with preserved ejection fraction (HFpEF) is a complex and heterogeneous clinical syndr...

Jul 2019 31309299
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