Classification of Severity of Lung Parenchyma Using Saliency and Discrete Cosine Transform Energy in Computed Tomography of Patients With COVID-19.

This study proposes an automated system for assessing lung damage severity in coronavirus disease 2019 (COVID-19) patients using computed tomography (CT) images. These preprocessed CT images identify the extent of pulmonary parenchyma (PP) and ground-glass opacity and pulmonary infiltrates (GGO-PIs). Two types of images-saliency () image and discrete cosine transform (DCT) energy image-were generated from these images.

Hyponatremia in a Patient With Vasodilatory Shock Due to Overdose of Antihypertensive Medications: A Case Report.

Vasodilatory shock can be caused by septic shock, neurogenic shock, anaphylaxis, drugs, and toxins. Vasopressin is commonly used for the restoration of vasomotor tone in vasodilatory shock due to sepsis. This agent exerts its vasoconstrictive effect via smooth muscle V1 receptors and has antidiuretic activity via kidney V2 receptors.

Novel COVID-19 Diagnosis Delivery App Using Computed Tomography Images Analyzed with Saliency-Preprocessing and Deep Learning.

This app project was aimed to remotely deliver diagnoses and disease-progression information to COVID-19 patients to help minimize risk during this and future pandemics. Data collected from chest computed tomography (CT) scans of COVID-19-infected patients were shared through the app. In this article, we focused on image preprocessing techniques to identify and highlight areas with ground glass opacity (GGO) and pulmonary infiltrates (PIs) in CT image sequences of COVID-19 cases.

A network meta-analysis of direct oral anticoagulants for portal vein thrombosis in cirrhosis.

Background: Current guidelines have limited consensus on the approach to portal venous thrombosis (PVT) in cirrhotic patients. While there is rising interest in direct oral anticoagulants (DOACs) use for PVT, current evidence is limited by small sample size and lack of comparisons to traditional anticoagulants. Thus, a network meta-analysis was conducted to compare the use of DOACs with traditional anticoagulants.