AIMC Topic: Pneumonia

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Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT.

Radiology Apr 27, 2020
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share similar CT characteristics, which contributes to the challenges in differentiating them with high accuracy. Purpose To establish and evaluate an artificial intellige...
China Adolescent Child, Preschool Child Tomography, X-Ray Computed Male Female Middle Aged Infant, Newborn Infant SARS-CoV-2 Lung Radiography, Thoracic Young Adult Philadelphia Adult Rhode Island Sensitivity and Specificity Betacoronavirus Aged Pneumonia, Viral Aged, 80 and over Artificial Intelligence Pandemics COVID-19 Retrospective Studies Diagnosis, Differential Pneumonia Radiologists Coronavirus Infections Humans
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Scoring pleurisy in slaughtered pigs using convolutional neural networks.

Veterinary research Apr 10, 2020
Diseases of the respiratory system are known to negatively impact the profitability of the pig industry, worldwide. Considering the relatively short lifespan of pigs, lesions can be still evident at slaughter, where they can be usefully recorded and ...
Neural Networks, Computer Animals Swine Swine Diseases Pneumonia Abattoirs Sus scrofa Pleurisy
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Predicting post-stroke pneumonia using deep neural network approaches.

International journal of medical informatics Oct 1, 2019
BACKGROUND AND PURPOSE: Pneumonia is a common complication after stroke, causing an increased length of hospital stay and death. Therefore, the timely and accurate prediction of post-stroke pneumonia would be highly valuable in clinical practice. Pre...
Male Middle Aged China ROC Curve Female Hospitalization Aged Aged, 80 and over Pneumonia Predictive Value of Tests Stroke Brain Ischemia Humans Machine Learning Algorithms Electronic Health Records
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Tackling the Radiological Society of North America Pneumonia Detection Challenge.

AJR. American journal of roentgenology May 23, 2019
We provide overviews of deep learning approaches used by two top-placing teams for the 2018 Radiological Society of North America (RSNA) Pneumonia Detection Challenge. Practical applications of deep learning techniques, as well as insights into the...
Pneumonia North America Societies, Medical Awards and Prizes Humans Algorithms Deep Learning
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An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare.

Journal of healthcare engineering Mar 27, 2019
This study proposes a convolutional neural network model trained from scratch to classify and detect the presence of pneumonia from a collection of chest X-ray image samples. Unlike other methods that rely solely on transfer learning approaches or tr...
Radiographic Image Interpretation, Computer-Assisted Infant Deep Learning Child, Preschool Algorithms Pneumonia Databases, Factual Reproducibility of Results Humans
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Automatic classification of pediatric pneumonia based on lung ultrasound pattern recognition.

PloS one Dec 5, 2018
Pneumonia is one of the major causes of child mortality, yet with a timely diagnosis, it is usually curable with antibiotic therapy. In many developing regions, diagnosing pneumonia remains a challenge, due to shortages of medical resources. Lung ult...
Child, Preschool Child Humans Ultrasonography Image Processing, Computer-Assisted Neural Networks, Computer Pneumonia Male Infant Lung
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Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.

PLoS medicine Nov 20, 2018
BACKGROUND: Chest radiograph interpretation is critical for the detection of thoracic diseases, including tuberculosis and lung cancer, which affect millions of people worldwide each year. This time-consuming task typically requires expert radiologis...
Pneumonia Predictive Value of Tests Radiologists Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning Clinical Competence Humans Retrospective Studies
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Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study.

PLoS medicine Nov 6, 2018
BACKGROUND: There is interest in using convolutional neural networks (CNNs) to analyze medical imaging to provide computer-aided diagnosis (CAD). Recent work has suggested that image classification CNNs may not generalize to new data as well as previ...
Pneumonia Retrospective Studies Predictive Value of Tests Female Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Radiology Information Systems Humans Middle Aged Diagnosis, Computer-Assisted Radiography, Thoracic Aged Deep Learning Adult United States Cross-Sectional Studies Male
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The comparison of pleural fluid TNF-α levels in tuberculous and nontuberculous pleural effusion.

The Indian journal of tuberculosis Jun 8, 2018
BACKGROUND: Tuberculous pleural effusion is the manifestation of Mycobacterium tuberculosis infection in pleura. With existing means, it is difficult to establish the diagnosis of tuberculosis (TB) and non-TB pleural effusions; thus, establishing the...
Case-Control Studies Young Adult Exudates and Transudates Humans Adolescent Adult Pleural Effusion, Malignant Pneumonia Tumor Necrosis Factor-alpha Male Tuberculosis, Pleural Pleural Effusion Middle Aged Female Aged
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Development and Validation of a Natural Language Processing Tool to Identify Patients Treated for Pneumonia across VA Emergency Departments.

Applied clinical informatics Feb 21, 2018
BACKGROUND: Identifying pneumonia using diagnosis codes alone may be insufficient for research on clinical decision making. Natural language processing (NLP) may enable the inclusion of cases missed by diagnosis codes.
ROC Curve Humans Signal Processing, Computer-Assisted United States Reproducibility of Results United States Department of Veterans Affairs Cohort Studies Pneumonia Natural Language Processing Emergency Service, Hospital
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