AIMC Topic: Pneumonia

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Predicting the risk of pulmonary infection after kidney transplantation using machine learning methods: a retrospective cohort study.

International urology and nephrology Nov 2, 2024
PURPOSE: Pulmonary infection is the most common and serious complication after kidney transplantation that affects the survival of the transplanted kidney and the quality of life of patients. This study aims to construct a machine learning model for ...
Postoperative Complications Cohort Studies Pneumonia Male Middle Aged Risk Assessment Humans Machine Learning Kidney Transplantation Risk Factors Adult Retrospective Studies Female
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Auto encoder-based defense mechanism against popular adversarial attacks in deep learning.

PloS one Oct 21, 2024
Convolutional Neural Network (CNN)-based models are prone to adversarial attacks, which present a significant hurdle to their reliability and robustness. The vulnerability of CNN-based models may be exploited by attackers to launch cyber-attacks. An ...
Computer Security Deep Learning Humans Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Pneumonia
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Evaluating Explainable Artificial Intelligence (XAI) techniques in chest radiology imaging through a human-centered Lens.

PloS one Oct 9, 2024
The field of radiology imaging has experienced a remarkable increase in using of deep learning (DL) algorithms to support diagnostic and treatment decisions. This rise has led to the development of Explainable AI (XAI) system to improve the transpare...
Deep Learning Pneumonia Coronavirus Infections Female SARS-CoV-2 Humans Male Radiography, Thoracic Artificial Intelligence Betacoronavirus Algorithms Pandemics Tomography, X-Ray Computed COVID-19
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Deep Conformal Supervision: Leveraging Intermediate Features for Robust Uncertainty Quantification.

Journal of imaging informatics in medicine Oct 7, 2024
Trustworthiness is crucial for artificial intelligence (AI) models in clinical settings, and a fundamental aspect of trustworthy AI is uncertainty quantification (UQ). Conformal prediction as a robust uncertainty quantification (UQ) framework has bee...
Pneumonia Intracranial Hemorrhages Radiography, Thoracic Uncertainty Humans Artificial Intelligence Deep Learning
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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...
Middle Aged Postoperative Complications Pneumonia Subarachnoid Hemorrhage Aged Adult Humans Male Machine Learning Retrospective Studies Female Risk Factors
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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...
Radiomics Male Middle Aged Female Aged Adult Severity of Illness Index Pneumonia Community-Acquired Infections Machine Learning Tomography, X-Ray Computed Humans
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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...
Humans Machine Learning Algorithms Reproducibility of Results Pneumonia Sensitivity and Specificity Lung Diseases Image Processing, Computer-Assisted Tuberculosis Fuzzy Logic
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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 ...
Child Ultrasonography Pneumonia Deep Learning Algorithms Adolescent Prospective Studies Child, Preschool Female Humans Point-of-Care Systems Male Infant Lung
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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...
Deep Learning Humans Radiographic Image Interpretation, Computer-Assisted Support Vector Machine Radiography, Thoracic Pneumonia Neural Networks, Computer Machine Learning
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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...
Deep Learning Fuzzy Logic Humans Algorithms Pneumonia Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic
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