Results 61 to 70 of about 285,778 (197)

Analysis of risk factors of fungal superinfections in viral pneumonia patients: A systematic review and meta‐analysis

open access: yesImmunity, Inflammation and Disease, 2023
Background Infections with fungi, such as Aspergillus species, have been found as common complications of viral pneumonia. This study aims to determine the risk factors of fungal superinfections in viral pneumonia patients using meta‐analysis.
Haiyang Ni   +5 more
doaj   +1 more source

PROBLEMS OF ANTIBIOTIC THERAPY IN KOVID-ASSOCIATED HOSPITAL PNEUMONIA

open access: yesСучасні медичні технології, 2022
Introduction. The advent of the COVID-19 pandemic has posed challenges to healthcare professionals. The most common manifestation of a new variant of coronavirus disease is pneumonia, and therefore, the doctor is faced with the question of the diagnostic
O.A. Savchenko   +5 more
doaj   +1 more source

Automatic Detection of COVID-19 and Pneumonia from Chest X-Ray using Deep Learning [PDF]

open access: yesarXiv, 2021
In this study, a dataset of X-ray images from patients with common viral pneumonia, bacterial pneumonia, confirmed Covid-19 disease was utilized for the automatic detection of the Coronavirus disease. The point of the investigation is to assess the exhibition of cutting edge convolutional neural system structures proposed over the ongoing years for ...
arxiv  

Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection [PDF]

open access: yesarXiv, 2020
Cluster of viral pneumonia occurrences during a short period of time may be a harbinger of an outbreak or pandemic, like SARS, MERS, and recent COVID-19. Rapid and accurate detection of viral pneumonia using chest X-ray can be significantly useful in large-scale screening and epidemic prevention, particularly when other chest imaging modalities are ...
arxiv  

A Transfer Learning Based Approach for Classification of COVID-19 and Pneumonia in CT Scan Imaging [PDF]

open access: yesarXiv, 2022
The world is still overwhelmed by the spread of the COVID-19 virus. With over 250 Million infected cases as of November 2021 and affecting 219 countries and territories, the world remains in the pandemic period. Detecting COVID-19 using the deep learning method on CT scan images can play a vital role in assisting medical professionals and decision ...
arxiv  

Spectrum and Clinical Characteristics of Symptomatic and Asymptomatic Coronavirus Disease 2019 (COVID-19) With and Without Pneumonia

open access: yesFrontiers in Medicine, 2021
Background: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2, has become a global pandemic. Based on symptoms, COVID-19 cases can be classified as symptomatic or asymptomatic.
Huihui Zeng   +9 more
doaj   +1 more source

Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19 [PDF]

open access: yesarXiv, 2020
Coronavirus disease 2019 (COVID-19) is an infectious disease with first symptoms similar to the flu. COVID-19 appeared first in China and very quickly spreads to the rest of the world, causing then the 2019-20 coronavirus pandemic. In many cases, this disease causes pneumonia.
arxiv  

Predictors of viral pneumonia in patients with community-acquired pneumonia.

open access: yesPLoS ONE, 2014
BackgroundViruses are increasingly recognized as major causes of community-acquired pneumonia (CAP). Few studies have investigated the clinical predictors of viral pneumonia, and the results have been inconsistent.
Ji Eun Kim   +8 more
doaj   +1 more source

Comparative incidence of early and late bloodstream and respiratory tract co-infection in patients admitted to ICU with COVID-19 pneumonia versus Influenza A or B pneumonia versus no viral pneumonia: wales multicentre ICU cohort study

open access: yesCritical Care, 2022
Objective The aim is to characterise early and late respiratory and bloodstream co-infection in patients admitted to intensive care units (ICUs) with SARS-CoV-2-related acute hypoxemic respiratory failure (AHRF) needing respiratory support in seven ICUs ...
Manish Pandey   +13 more
doaj   +1 more source

Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs [PDF]

open access: yesarXiv, 2023
Diagnosing lung inflammation, particularly pneumonia, is of paramount importance for effectively treating and managing the disease. Pneumonia is a common respiratory infection caused by bacteria, viruses, or fungi and can indiscriminately affect people of all ages. As highlighted by the World Health Organization (WHO), this prevalent disease tragically
arxiv  

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