Cardiovascular

Congestive Heart Failure

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

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Showing 274-294 of 3,374 articles
Incidence, Determinants, and Outcome of Contrast-induced Acute Kidney Injury following Percutaneous Coronary Intervention at a Tertiary Care Hospital.

Contrast-induced acute kidney injury (CI-AKI) after percutaneous coronary intervention (PCI) is the ...

Ethnomedicinal uses, phytochemistry, and pharmacology of the genus : a review.

Although medicinal plants have been used by ethnic communities since ancient times to prevent and tr...

Changes in left ventricular systolic function after transcatheter patent ductus arteriosus closure in premature infants.

BACKGROUND: Changes in left ventricular (LV) systolic function have not been well described in prema...

Phytochemical and biological studies of aerial parts ethanol extract supported by molecular docking study.

has traditionally been used as a poultice to alleviate local inflammation and painful diseases. Thi...

Analysis of the improvement effect of Astragalus extract on oxidative stress injury in viral myocarditis through STAT3/IL-6.

The objective of this study was to investigate the improvement effect of Astragalus (AS) extract on ...

Intravitreal injection of methotrexate in persistent diabetic macular edema: a 6-month study.

BACKGROUND: Diabetic macular edema (DME) affects approximately 10% of patients with diabetes mellitu...

The Effect of Acute Hyperglycaemia Induced by Oral Glucose Load on Heart Rate Variability and Skin Microvascular Reactivity in Young Adults.

We aimed to elucidate the effects of acute hyperglycaemia, induced by an oral glucose tolerance test...

Identification of Hypertrophic Cardiomyopathy on Electrocardiographic Images with Deep Learning.

BACKGROUND: Hypertrophic cardiomyopathy (HCM) affects 1 in every 200 individuals and is the leading ...

Thyrotoxic Cardiomyopathy Unveiled: Insights From a Compelling Case Report.

Thyrotoxicosis is a clinical condition characterized by inappropriately elevated thyroid hormone lev...

Automated identification and quantification of metastatic brain tumors and perilesional edema based on a deep learning neural network.

PURPOSE: This paper presents a deep learning model for use in the automated segmentation of metastat...

The Role of Serum NT-proBNP for Predicting Left Ventricular Systolic Dysfunction in Hospitalized Patients in Sri Lanka.

BACKGROUND/AIMS: Only a few studies have addressed the role of NT-proBNP in identifying Left Ventric...

Accuracy of Integrated Artificial Intelligence Grading Using Handheld Retinal Imaging in a Community Diabetic Eye Screening Program.

PURPOSE: To evaluate mydriatic handheld retinal imaging performance assessed by point-of-care (POC) ...

Artificial intelligence-enhanced electrocardiogram for arrhythmogenic right ventricular cardiomyopathy detection.

AIMS: ECG abnormalities are often the first signs of arrhythmogenic right ventricular cardiomyopathy...

EstimATTR: A Simplified, Machine-Learning-Based Tool to Predict the Risk of Wild-Type Transthyretin Amyloid Cardiomyopathy.

BACKGROUND: Wild-type transthyretin amyloid cardiomyopathy (ATTRwt-CM), an increasingly recognized c...

A comprehensive review of applications of artificial intelligence in echocardiography.

Echocardiography plays a crucial role in diagnosis of cardiovascular diseases. Artificial intelligen...

Hypotensive and Endothelium-Dependent Vasorelaxant Effects of Grayblue Spicebush Ethanol Extract in Rats.

Hypertension is one of the most common chronic diseases, and its prevalence is increasing worldwide....

Echocardiography-Based Deep Learning Model to Differentiate Constrictive Pericarditis and Restrictive Cardiomyopathy.

BACKGROUND: Constrictive pericarditis (CP) is an uncommon but reversible cause of diastolic heart fa...

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