Congestive Heart Failure

Hepatoprotective Effect of Leaf Extract and Its Various Fractions against Carbon Tetra Chloride Induced Hepatotoxicity in Rats.

is traditionally used as an antipyretic, digestive, and diuretic agent. Its flowers possess free radical-scavenging, antioxidative, and hepatoprotective effects. We investigated the hepatoprotective potential of leaf extract and its various fractions against hepatotoxicity in rats. Liver injury was stimulated by the oral administration of carbon tetrachloride (CCl; 2.5 mL/kg b.wt.). Male albino ...

Correlation of the modified Medical Research Council dyspnea scale with airway structure assessed by three-dimensional CT in patients with chronic obstructive pulmonary disease.

BACKGROUND: Dyspnea is a common symptom in chronic obstructive pulmonary disease (COPD). The modified Medical Research Council (mMRC) dyspnea scale is a widely used questionnaire to assess dyspnea. However, the relationship of the mMRC dyspnea scale with morphological airway structures in COPD remains unclear. We evaluated the correlation between the mMRC dyspnea scale and imaging-based airway str...

Serum Peroxisome Proliferator-activated Receptor Gamma Coactivator-1α Related to Myocardial Energy Expenditure in Patients With Chronic Heart Failure.

BACKGROUND: Peroxisome proliferator-activated receptor gamma coactivator-1α (PGC-1α) plays key roles in controlling cardiac metabolism and function. M...

A Unique Case of Severe Anemia Secondary to Copper Deficiency in an Adult Patient.

Anemia is a frequently encountered problem in the healthcare system. Common causes of anemia include blood loss, followed by impaired red blood cell p...

Non-directed bronchial lavage is a safe method for sampling the respiratory tract in critically ill patient.

Ventilated patients are at risk of acquiring ventilator-associated pneumonia. Various techniques are available for diagnosing ventilator-associated pn...

Chest Radiographs in Congestive Heart Failure: Visualizing Neural Network Learning.

Purpose To examine Generative Visual Rationales (GVRs) as a tool for visualizing neural network learning of chest radiograph features in congestive he...

Using a Deep Learning Network to Diagnose Congestive Heart Failure.

Machine learning based framework to predict cardiac arrests in a paediatric intensive care unit : Prediction of cardiac arrests.

A cardiac arrest is a life-threatening event, often fatal. Whilst clinicians classify some of the cardiac arrests as potentially predictable, the majo...

Can Deep Learning Improve Genomic Prediction of Complex Human Traits?

The genetic analysis of complex traits does not escape the current excitement around artificial intelligence, including a renewed interest in "deep le...

Oral Metolazone Versus Intravenous Chlorothiazide as an Adjunct to Loop Diuretics for Diuresis in Acute Decompensated Heart Failure With Reduced Ejection Fraction.

Thiazide diuretics are often utilized to overcome loop diuretic resistance when treating acute decompensated heart failure (ADHF). In addition to a l...

Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices.

Artificial Intelligence (AI) has long promised to increase healthcare affordability, quality and accessibility but FDA, until recently, had never auth...

Identification of a Novel Clinical Phenotype of Severe Malaria using a Network-Based Clustering Approach.

The parasite Plasmodium falciparum is the main cause of severe malaria (SM). Despite treatment with antimalarial drugs, more than 400,000 deaths are r...

Improvement of Adequate Digoxin Dosage: An Application of Machine Learning Approach.

Digoxin is a high-alert medication because of its narrow therapeutic range and high drug-to-drug interactions (DDIs). Approximately 50% of digoxin tox...

Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients.

OBJECTIVE: The aim of this paper is to describe an automated diagnostic pipeline that uses as input only ultrasound (US) data, but is at the same time...

Automated Cardiac MR Scar Quantification in Hypertrophic Cardiomyopathy Using Deep Convolutional Neural Networks.

On differentiation between vasogenic edema and non-enhancing tumor in high-grade glioma patients using a support vector machine classifier based upon pre and post-surgery MRI images.

PURPOSE: High grade gliomas (HGGs) are infiltrative in nature. Differentiation between vasogenic edema and non-contrast enhancing tumor is difficult a...

Use of machine-learning algorithms to determine features of systolic blood pressure variability that predict poor outcomes in hypertensive patients.

BACKGROUND: We re-analyzed data from the Systolic Blood Pressure Intervention Trial (SPRINT) trial to identify features of systolic blood pressure (SB...

Vasopressin antagonist-like effect of acetazolamide in a heart failure patient: a case report.

BACKGROUND: Hyponatraemia is easily corrected by treatment with an oral vasopressin antagonist, but these medications are costly and their use at outp...

Development of an efficient algorithm for the detection of macular edema from optical coherence tomography images.

PURPOSE: Detection of eye diseases and their treatment is a key to reduce blindness, which impacts human daily needs like driving, reading, writing, e...

Ω-Net (Omega-Net): Fully automatic, multi-view cardiac MR detection, orientation, and segmentation with deep neural networks.

Pixelwise segmentation of the left ventricular (LV) myocardium and the four cardiac chambers in 2-D steady state free precession (SSFP) cine sequences...