AIMC Topic: Lung

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Integrating CT radiomics and clinical features using machine learning to predict post-COVID pulmonary fibrosis.

Respiratory research Jul 2, 2025
BACKGROUND: The lack of reliable biomarkers for the early detection and risk stratification of post-COVID-19 pulmonary fibrosis (PCPF) underscores the urgency advanced predictive tools. This study aimed to develop a machine learning-based predictive ...
Cohort Studies Predictive Value of Tests Pulmonary Fibrosis Male Middle Aged Lung Machine Learning COVID-19 Retrospective Studies Aged Radiomics Tomography, X-Ray Computed Female Humans
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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 Convolutional Neural Networks Radiographic Image Interpretation, Computer-Assisted Lung Diseases Radiography, Thoracic Neural Networks, Computer Algorithms Lung
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A deep learning-based computed tomography reading system for the diagnosis of lung cancer associated with cystic airspaces.

Scientific reports Jul 2, 2025
To propose a deep learning model and explore its performance in the auxiliary diagnosis of lung cancer associated with cystic airspaces (LCCA) in computed tomography (CT) images. This study is a retrospective analysis that incorporated a total of 342...
Male Middle Aged Lung Deep Learning Tomography, X-Ray Computed Female Aged Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Cysts Humans Retrospective Studies
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AI-driven genetic algorithm-optimized lung segmentation for precision in early lung cancer diagnosis.

Scientific reports Jul 2, 2025
Lung cancer remains the leading cause of cancer-related mortality worldwide, necessitating accurate and efficient diagnostic tools to improve patient outcomes. Lung segmentation plays a pivotal role in the diagnostic pipeline, directly impacting the ...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Early Detection of Cancer Tomography, X-Ray Computed Genetic Algorithms Lung Lung Neoplasms
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Artificial Intelligence Iterative Reconstruction for Dose Reduction in Pediatric Chest CT: A Clinical Assessment via Below 3 Years Patients With Congenital Heart Disease.

Journal of thoracic imaging Jul 1, 2025
PURPOSE: To assess the performance of a newly introduced deep learning-based reconstruction algorithm, namely the artificial intelligence iterative reconstruction (AIIR), in reducing the dose of pediatric chest CT by using the image data of below 3-y...
Child, Preschool Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Radiography, Thoracic Heart Defects, Congenital Male Infant Lung Prospective Studies Tomography, X-Ray Computed Female Humans Artificial Intelligence
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Identification of key genes and development of an identifying machine learning model for sepsis.

Inflammation research : official journal of the European Histamine Research Society ... [et al.] Jun 30, 2025
OBJECTIVE AND DESIGN: This study aims to identify key genes of sepsis and construct a model for sepsis identification through integrated multi-organ single-cell RNA sequencing (scRNA-seq) and machine learning.
Single-Cell Analysis Mice Sequence Analysis, RNA Support Vector Machine Databases, Genetic Animals Lung Gene Expression Profiling Humans Sepsis Machine Learning
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High-definition motion-resolved MRI using 3D radial kooshball acquisition and deep learning spatial-temporal 4D reconstruction.

Physics in medicine and biology Jun 17, 2025
To develop motion-resolved volumetric MRI with 1.1 mm isotropic resolution and scan times <5 min using a combination of 3D radial kooshball acquisition and spatial-temporal deep learning 4D reconstruction for free-breathing high-definition (HD) lung ...
Time Factors Imaging, Three-Dimensional Lung Neoplasms Magnetic Resonance Imaging Humans Male Movement Respiration Female Lung Adult Deep Learning
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Pixel super-resolved virtual staining of label-free tissue using diffusion models.

Nature communications May 30, 2025
Virtual staining of tissue offers a powerful tool for transforming label-free microscopy images of unstained tissue into equivalents of histochemically stained samples. This study presents a diffusion model-based pixel super-resolution virtual staini...
Humans Reproducibility of Results Lung Staining and Labeling Microscopy, Fluorescence Deep Learning Diffusion Image Processing, Computer-Assisted
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Can intraoperative improvement of radial endobronchial ultrasound imaging enhance the diagnostic yield in peripheral pulmonary lesions?

BMC pulmonary medicine May 26, 2025
BACKGROUND: Data regarding the diagnostic efficacy of radial endobronchial ultrasound (R-EBUS) findings obtained via transbronchial needle aspiration (TBNA)/biopsy (TBB) with endobronchial ultrasonography with a guide sheath (EBUS-GS) for peripheral ...
Endoscopic Ultrasound-Guided Fine Needle Aspiration Endosonography Intraoperative Care Logistic Models Intraoperative Period Bronchoscopy Humans Male Middle Aged Retrospective Studies Lung Female Lung Neoplasms Aged
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Diagnosis of early idiopathic pulmonary fibrosis: current status and future perspective.

Respiratory research May 19, 2025
The standard approach to diagnosing idiopathic pulmonary fibrosis (IPF) includes identifying the usual interstitial pneumonia (UIP) pattern via high resolution computed tomography (HRCT) or lung biopsy and excluding known causes of interstitial lung ...
Idiopathic Pulmonary Fibrosis Bronchoscopy Early Diagnosis Forecasting Tomography, X-Ray Computed Lung Humans
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