AIMC Topic: Lung Diseases

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Pulmonary diseases accurate recognition using adaptive multiscale feature fusion in chest radiography.

Scientific reports Aug 10, 2025
Pulmonary disease can severely impair respiratory function and be life-threatening. Accurately recognizing pulmonary diseases in chest X-ray images is challenging due to overlapping body structures and the complex anatomy of the chest. We propose an ...
Humans Neural Networks, Computer Pneumonia Radiographic Image Interpretation, Computer-Assisted Lung Diseases Radiography, Thoracic COVID-19 Algorithms SARS-CoV-2
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LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans.

PloS one Aug 8, 2025
Lung diseases (LGDs) are related to an extensive range of lung disorders, including pneumonia (PNEUM), lung cancer (LC), tuberculosis (TB), and COVID-19 etc. The diagnosis of LGDs is performed by using different medical imaging such as X-rays, CT sca...
Extreme Learning Machines SARS-CoV-2 Lung Neoplasms Lung Diseases Humans Neural Networks, Computer Machine Learning Pandemics COVID-19 Tomography, X-Ray Computed
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A lightweight hybrid DL model for multi-class chest x-ray classification for pulmonary diseases.

Biomedical physics & engineering express Aug 5, 2025
Pulmonary diseases have become one of the main reasons for people's health decline, impacting millions of people worldwide. Rapid advancement of deep learning has significantly impacted medical image analysis by improving diagnostic accuracy and effi...
COVID-19 Algorithms SARS-CoV-2 Humans Neural Networks, Computer Machine Learning Support Vector Machine Pneumonia Radiographic Image Interpretation, Computer-Assisted Lung Deep Learning Image Processing, Computer-Assisted Lung Diseases Radiography, Thoracic
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Neural network based AI model for lung health assessment.

Scientific reports Jul 12, 2025
Treating pulmonary diseases is pivotal in healthcare since they are the third leading cause of mortality globally. To aid medical experts in diagnosis, various studies have been conducted using artificial intelligence (AI) compatible devices to analy...
Neural Networks, Computer Artificial Intelligence Algorithms Lung Lung Diseases Respiratory Sounds Humans
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Early warning and stratification of the elderly cardiopulmonary dysfunction-related diseases: multicentre prospective study protocol.

BMJ open Jul 5, 2025
INTRODUCTION: In China, there is a lack of standardised clinical imaging databases for multidimensional evaluation of cardiopulmonary diseases. To address this gap, this study protocol launched a project to build a clinical imaging technology integra...
Lung Diseases Early Warning Score China Multicenter Studies as Topic Exercise Test Tomography, X-Ray Computed Female Aged Male Echocardiography Aged, 80 and over Cross-Sectional Studies Humans Prospective Studies
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Intelligent diagnosis model for chest X-ray images diseases based on convolutional neural network.

BMC medical imaging Jul 2, 2025
To address misdiagnosis caused by feature coupling in multi-label medical image classification, this study introduces a chest X-ray pathology reasoning method. It combines hierarchical attention convolutional networks with a multi-label decoupling lo...
Humans Neural Networks, Computer Algorithms Radiography, Thoracic Convolutional Neural Networks Lung Radiographic Image Interpretation, Computer-Assisted Lung Diseases
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Enhancing Pulmonary Disease Prediction Using Large Language Models With Feature Summarization and Hybrid Retrieval-Augmented Generation: Multicenter Methodological Study Based on Radiology Report.

Journal of medical Internet research Jun 11, 2025
BACKGROUND: The rapid advancements in natural language processing, particularly the development of large language models (LLMs), have opened new avenues for managing complex clinical text data. However, the inherent complexity and specificity of medi...
Lung Diseases Large Language Models Deep Learning Lung Neoplasms Natural Language Processing Humans Retrospective Studies Tomography, X-Ray Computed
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Oxidative Stress Markers and Prediction of Severity With a Machine Learning Approach in Hospitalized Patients With COVID-19 and Severe Lung Disease: Observational, Retrospective, Single-Center Feasibility Study.

JMIR formative research Apr 11, 2025
BACKGROUND: Serious pulmonary pathologies of infectious, viral, or bacterial origin are accompanied by inflammation and an increase in oxidative stress (OS). In these situations, biological measurements of OS are technically difficult to obtain, and ...
Lung Diseases France Severity of Illness Index Oxidative Stress Feasibility Studies SARS-CoV-2 Biomarkers Hospitalization Humans Retrospective Studies Adult Aged Machine Learning Female Male COVID-19 Middle Aged
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Feature Separation in Diffuse Lung Disease Image Classification by Using Evolutionary Algorithm-Based NAS.

IEEE journal of biomedical and health informatics Apr 4, 2025
In the field of diagnosing lung diseases, the application of neural networks (NNs) in image classification exhibits significant potential. However, NNs are considered "black boxes," making it difficult to discern their decision-making processes, ther...
Humans Lung Neural Networks, Computer Lung Diseases Algorithms Image Interpretation, Computer-Assisted Tomography, X-Ray Computed
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Pathophysiological mechanisms of exertional dyspnea in people with cardiopulmonary disease: Recent advances.

Respiratory physiology & neurobiology Mar 29, 2025
Physical activity is a leading trigger of dyspnea in chronic cardiopulmonary diseases. Recently, there has been a renewed interest in uncovering the mechanisms underlying this distressing symptom. We start by articulating a conceptual framework linki...
Exercise Humans Lung Diseases Dyspnea
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