AIMC Topic: Lung Diseases

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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 Radiographic Image Interpretation, Computer-Assisted Lung Diseases Radiography, Thoracic Algorithms Lung Convolutional Neural Networks
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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...
Large Language Models Natural Language Processing Lung Diseases Tomography, X-Ray Computed Humans Deep Learning Retrospective Studies Lung Neoplasms
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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 ...
Adult Male Middle Aged Hospitalization Aged Lung Diseases France Severity of Illness Index Oxidative Stress Feasibility Studies COVID-19 Biomarkers Retrospective Studies Female Humans SARS-CoV-2 Machine Learning
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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 Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Lung Lung Diseases Neural Networks, Computer Algorithms
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Classification of pulmonary diseases from chest radiographs using deep transfer learning.

PloS one Mar 17, 2025
Pulmonary diseases are the leading causes of disabilities and deaths worldwide. Early diagnosis of pulmonary diseases can reduce the fatality rate. Chest radiographs are commonly used to diagnose pulmonary diseases. In clinical practice, diagnosing p...
Radiography, Thoracic Sensitivity and Specificity Humans Deep Learning Lung Diseases Neural Networks, Computer
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Multi-axis transformer based U-Net with class balanced ensemble model for lung disease classification using X-ray images.

Journal of X-ray science and technology Feb 26, 2025
Chest X-rays are an essential diagnostic tool for identifying chest disorders because of its high sensitivity in detecting pathological anomalies in the lungs. Classification models based on conventional Convolutional Neural Networks (CNNs) are adve...
Radiographic Image Interpretation, Computer-Assisted Lung Diseases Radiography, Thoracic Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Lung
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[Artificial intelligence and machine learning in auscultation: prospects of the project DigitaLung].

Pneumologie (Stuttgart, Germany) Feb 17, 2025
Auscultation is one of the key medical skills in physical examination. The main problem with auscultation is the lack of objectivity of the findings and great dependence on the experience of the examiner. Auscultation using machine learning and neura...
Diagnosis, Computer-Assisted Lung Diseases Auscultation Neural Networks, Computer Artificial Intelligence Machine Learning Humans
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An 8-point scale lung ultrasound scoring network fusing local detail and global features.

Scientific reports Feb 17, 2025
Manual lung ultrasound (LUS) scoring is influenced by clinicians' subjective interpretation, leading to potential inconsistencies and misdiagnoses due to varying levels of experience. To improve monitoring of pulmonary ventilation and support early d...
Humans Neural Networks, Computer Ultrasonography Lung Lung Diseases Deep Learning Image Interpretation, Computer-Assisted
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DKCN-Net: Deep kronecker convolutional neural network-based lung disease detection with federated learning.

Computational biology and chemistry Feb 8, 2025
In the healthcare field, lung disease detection techniques based on deep learning (DL) are widely used. However, achieving high stability while maintaining privacy remains a challenge. To address this, this research employs Federated Learning (FL), e...
Deep Learning Convolutional Neural Networks Lung Diseases Humans Federated Learning Neural Networks, Computer Tomography, X-Ray Computed
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[Artificial intelligence in paediatric pneumology - opportunities and unanswered questions].

Klinische Padiatrie Feb 3, 2025
Artificial intelligence (AI) is already being used in most medical disciplines, including paediatric pneumology. This review describes current developments in AI-supported technologies and discusses their potential for the diagnosis and treatment of ...
Humans Pulmonary Medicine Artificial Intelligence Child, Preschool Pediatrics Adolescent Child Respiratory Sounds Lung Diseases
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