Results 41 to 50 of about 187,516 (297)
CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images [PDF]
Accurate and rapid detection of COVID-19 pneumonia is crucial for optimal patient treatment. Chest X-Ray (CXR) is the first line imaging test for COVID-19 pneumonia diagnosis as it is fast, cheap and easily accessible. Inspired by the success of deep learning (DL) in computer vision, many DL-models have been proposed to detect COVID-19 pneumonia using ...
arxiv +1 more source
Evidenced-based guidelines for management of infants and children with community-acquired pneumonia (CAP) were prepared by an expert panel comprising clinicians and investigators representing community pediatrics, public health, and the pediatric ...
J. Bradley+12 more
semanticscholar +1 more source
BACKGROUND: Bacteremic pneumococcal pneumonia has not been the subject of a multicentre Canadian Study.
Thomas J Marrie+3 more
doaj +1 more source
Community-Acquired Pneumonia Requiring Hospitalization among U.S. Adults.
BACKGROUND Community-acquired pneumonia is a leading infectious cause of hospitalization and death among U.S. adults. Incidence estimates of pneumonia confirmed radiographically and with the use of current laboratory diagnostic tests are needed ...
Seemalata Jain+31 more
semanticscholar +1 more source
A new SARS‐CoV‐2 variant, Omicron, was reported on November 14, 2021, and it altered the COVID‐19 epidemic with a different peak timing by region in Japan. Residents in Hiroshima prefecture, especially vulnerable elderly, were threatend by this wave in advance of many other prefectures. We showed that mild and severe cognitive decline elevated the risk
Shuhei Yoshida+4 more
wiley +1 more source
Legionnaires' Disease - Results of a Multicenter Canadian Study
BACKGROUND: There has never been a cross-Canada surveillance project to determine the rate of Legionella species as a cause of community-acquired pneumonia requiring hospitalization and to determine whether there are any regional differences in the rates
Thomas J Marrie+4 more
doaj +1 more source
Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays [PDF]
Computer-aided X-ray pneumonia lesion recognition is important for accurate diagnosis of pneumonia. With the emergence of deep learning, the identification accuracy of pneumonia has been greatly improved, but there are still some challenges due to the fuzzy appearance of chest X-rays.
arxiv
Community-acquired pneumonia [PDF]
This seminar reviews important features and management issues of community-acquired pneumonia (CAP) that are especially relevant to immunocompetent adults in light of new information about cause, clinical course, diagnostic testing, treatment, and prevention.
openaire +3 more sources
Prediction of Pneumonia and COVID-19 Using Deep Neural Networks [PDF]
Pneumonia, caused by bacteria and viruses, is a rapidly spreading viral infection with global implications. Prompt identification of infected individuals is crucial for containing its transmission. This study explores the potential of medical image analysis to address this challenge.
arxiv
Abstract Objective Obesity increases morbidity and mortality from Coronavirus disease 2019 (COVID‐19). This study characterized inpatient complications among patients with obesity and COVID‐19—including myocardial infarction, renal failure requiring dialysis, stroke, secondary bacterial infection, and venous thromboembolism—and identified factors ...
Tyler J. Ryan+5 more
wiley +1 more source