AIMC Topic: Lung Diseases

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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...
Humans Neural Networks, Computer Sensitivity and Specificity Deep Learning Lung Diseases Radiography, Thoracic
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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...
Radiography, Thoracic Radiographic Image Interpretation, Computer-Assisted Lung Diseases Neural Networks, Computer Algorithms Lung Deep Learning Image Processing, Computer-Assisted Humans
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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...
Humans Auscultation Machine Learning Diagnosis, Computer-Assisted Neural Networks, Computer Lung Diseases Artificial Intelligence
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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...
Lung Diseases Image Interpretation, Computer-Assisted Humans Lung Neural Networks, Computer Deep Learning Ultrasonography
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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...
Humans Neural Networks, Computer Lung Diseases Federated Learning Tomography, X-Ray Computed Deep Learning Convolutional Neural Networks
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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 Artificial Intelligence Adolescent Pediatrics Respiratory Sounds Pulmonary Medicine Child, Preschool Child Lung Diseases
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Exploring the assessment of post-cardiac valve surgery pulmonary complication risks through the integration of wearable continuous physiological and clinical data.

BMC medical informatics and decision making Jan 31, 2025
BACKGROUND: Postoperative pulmonary complications (PPCs) following cardiac valvular surgery are characterized by high morbidity, mortality, and economic cost. This study leverages wearable technology and machine learning algorithms to preoperatively ...
Cardiac Surgical Procedures Heart Valves Wearable Electronic Devices Lung Diseases Female Aged Male Middle Aged Risk Assessment Humans Postoperative Complications Machine Learning Prospective Studies
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AI-assisted detection for chest X-rays (AID-CXR): a multi-reader multi-case study protocol.

BMJ open Dec 20, 2024
INTRODUCTION: A chest X-ray (CXR) is the most common imaging investigation performed worldwide. Advances in machine learning and computer vision technologies have led to the development of several artificial intelligence (AI) tools to detect abnormal...
Research Design Retrospective Studies Humans ROC Curve Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted Algorithms Lung Diseases Radiography, Thoracic
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CNN-O-ELMNet: Optimized Lightweight and Generalized Model for Lung Disease Classification and Severity Assessment.

IEEE transactions on medical imaging Dec 2, 2024
The high burden of lung diseases on healthcare necessitates effective detection methods. Current Computer-aided design (CAD) systems are limited by their focus on specific diseases and computationally demanding deep learning models. To overcome these...
Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Deep Learning Algorithms Lung Neoplasms Lung Lung Diseases Severity of Illness Index
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Attention-based multi-residual network for lung segmentation in diseased lungs with custom data augmentation.

Scientific reports Nov 22, 2024
Lung disease analysis in chest X-rays (CXR) using deep learning presents significant challenges due to the wide variation in lung appearance caused by disease progression and differing X-ray settings. While deep learning models have shown remarkable ...
Pneumoconiosis Radiographic Image Interpretation, Computer-Assisted SARS-CoV-2 Lung Diseases Lung Humans Radiography, Thoracic Deep Learning COVID-19
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