AIMC Topic: Pneumonia
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Development and validation of a machine-learning model for predicting postoperative pneumonia in aneurysmal subarachnoid hemorrhage.
Neurosurgical review
Sep 24, 2024
Pneumonia is a common postoperative complication in patients with aneurysmal subarachnoid hemorrhage (aSAH), which is associated with poor prognosis and increased mortality. The aim of this study was to develop a predictive model for postoperative pn...
Identifying severe community-acquired pneumonia using radiomics and clinical data: a machine learning approach.
Scientific reports
Sep 19, 2024
Evaluating Community-Acquired Pneumonia (CAP) is crucial for determining appropriate treatment methods. In this study, we established a machine learning model using radiomics and clinical features to rapidly and accurately identify Severe Community-A...
Fuzzy lattices assisted EJAYA Q-learning for automated pulmonary diseases classification.
Biomedical physics & engineering express
Sep 3, 2024
This work proposes a novel technique called Enhanced JAYA (EJAYA) assisted Q-Learning for the classification of pulmonary diseases, such as pneumonia and tuberculosis (TB) sub-classes using chest x-ray images. The work introduces Fuzzy lattices forma...
Development and testing of a deep learning algorithm to detect lung consolidation among children with pneumonia using hand-held ultrasound.
PloS one
Aug 27, 2024
BACKGROUND AND OBJECTIVES: Severe pneumonia is the leading cause of death among young children worldwide, disproportionately impacting children who lack access to advanced diagnostic imaging. Here our objectives were to develop and test the accuracy ...
Ensemble of Deep Learning Architectures with Machine Learning for Pneumonia Classification Using Chest X-rays.
Journal of imaging informatics in medicine
Aug 13, 2024
Pneumonia is a severe health concern, particularly for vulnerable groups, needing early and correct classification for optimal treatment. This study addresses the use of deep learning combined with machine learning classifiers (DLxMLCs) for pneumonia...
A Deep Learning Method for Pneumonia Detection Based on Fuzzy Non-Maximum Suppression.
IEEE/ACM transactions on computational biology and bioinformatics
Aug 8, 2024
Pneumonia is one of the largest causes of death in the world. Deep learning techniques can assist doctors to detect the areas of pneumonia in the chest X-rays images. However, existing methods lack sufficient consideration for the large variation sca...
A Deep Learning Approach Considering Image Background for Pneumonia Identification Using Explainable AI (XAI).
IEEE/ACM transactions on computational biology and bioinformatics
Aug 8, 2024
Pneumonia mainly refers to lung infections caused by pathogens, such as bacteria and viruses. Currently, deep learning methods have been applied to identify pneumonia. However, the traditional deep learning methods for pneumonia identification take l...
Development and validation of radiology-clinical statistical and machine learning model for stroke-associated pneumonia after first intracerebral haemorrhage.
BMC pulmonary medicine
Jul 24, 2024
BACKGROUND: Society is burdened with stroke-associated pneumonia (SAP) after intracerebral haemorrhage (ICH). Cerebral small vessel disease (CSVD) complicates clinical manifestations of stroke. In this study, we redefined the CSVD burden score and in...
Machine learning-based derivation and validation of three immune phenotypes for risk stratification and prognosis in community-acquired pneumonia: a retrospective cohort study.
Frontiers in immunology
Jul 24, 2024
BACKGROUND: The clinical presentation of Community-acquired pneumonia (CAP) in hospitalized patients exhibits heterogeneity. Inflammation and immune responses play significant roles in CAP development. However, research on immunophenotypes in CAP pat...
Cluster analysis of thoracic muscle mass using artificial intelligence in severe pneumonia.
Scientific reports
Jul 23, 2024
Severe pneumonia results in high morbidity and mortality despite advanced treatments. This study investigates thoracic muscle mass from chest CT scans as a biomarker for predicting clinical outcomes in ICU patients with severe pneumonia. Analyzing el...
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