AIMC Topic: Lung

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Minimum clinically important difference in Quantitative Lung Fibrosis score associated with all-cause mortality in idiopathic pulmonary fibrosis: subanalysis from two phase II trials of pamrevlumab.

BMJ open May 12, 2025
OBJECTIVES: Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease. Chest high-resolution CT (HRCT) is instrumental in IPF management, and the Quantitative Lung Fibrosis (QLF) score is a computer-assisted metric for quantifyin...
Female Antibodies, Monoclonal Disease Progression Aged Humans Vital Capacity Lung Male Prospective Studies Antibodies, Monoclonal, Humanized Minimal Clinically Important Difference Middle Aged Tomography, X-Ray Computed Idiopathic Pulmonary Fibrosis
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Synthetic Lung Ultrasound Data Generation Using Autoencoder With Generative Adversarial Network.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control May 7, 2025
Class imbalance is a significant challenge in medical image analysis, particularly in lung ultrasound (LUS), where severe patterns are often underrepresented. Traditional oversampling techniques, which simply duplicate original data, have limited eff...
Image Processing, Computer-Assisted Autoencoder Generative Adversarial Networks Neural Networks, Computer Algorithms Lung Ultrasonography Humans
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The Role of Computed Tomography and Artificial Intelligence in Evaluating the Comorbidities of Chronic Obstructive Pulmonary Disease: A One-Stop CT Scanning for Lung Cancer Screening.

International journal of chronic obstructive pulmonary disease May 6, 2025
Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality worldwide. Comorbidities in patients with COPD significantly increase morbidity, mortality, and healthcare costs, posing a significant burden on the management o...
Risk Factors Pulmonary Disease, Chronic Obstructive Lung Neoplasms Lung Humans Artificial Intelligence Early Detection of Cancer Comorbidity Prognosis Predictive Value of Tests Tomography, X-Ray Computed
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Impact of Photon-counting Detector Computed Tomography on a Quantitative Interstitial Lung Disease Machine Learning Model.

Journal of thoracic imaging May 1, 2025
PURPOSE: Compare the impact of photon-counting detector computed tomography (PCD-CT) to conventional CT on an interstitial lung disease (ILD) quantitative machine learning (QML) model.
Female Aged Adult Male Middle Aged Lung Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Photons
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Predicting Gene Comutation of EGFR and TP53 by Radiomics and Deep Learning in Patients With Lung Adenocarcinomas.

Journal of thoracic imaging May 1, 2025
PURPOSE: This study was designed to construct progressive binary classification models based on radiomics and deep learning to predict the presence of epidermal growth factor receptor ( EGFR ) and TP53 mutations and to assess the models' capacities t...
Tumor Suppressor Protein p53 Sensitivity and Specificity ErbB Receptors Radiomics Adenocarcinoma of Lung Male Middle Aged Female Lung Humans Reproducibility of Results Deep Learning Retrospective Studies Aged Lung Neoplasms Tomography, X-Ray Computed Adult Mutation
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Detection of Pulmonary Nodules on Ultra-low Dose Chest Computed Tomography With Deep-learning Image Reconstruction Algorithm.

Journal of thoracic imaging May 1, 2025
PURPOSE: To evaluate the accuracy of ultra-low dose (ULD) chest computed tomography (CT), with a radiation exposure equivalent to a 2-view chest x-ray, for pulmonary nodule detection using deep learning image reconstruction (DLIR).
Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Lung Deep Learning Lung Neoplasms Radiography, Thoracic Female Aged Aged, 80 and over Adult Sensitivity and Specificity Cross-Sectional Studies Male Humans Middle Aged Algorithms Prospective Studies Tomography, X-Ray Computed
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TransAnno-Net: A Deep Learning Framework for Accurate Cell Type Annotation of Mouse Lung Tissue Using Self-supervised Pretraining.

Computer methods and programs in biomedicine Apr 24, 2025
BACKGROUND: Single-cell RNA sequencing (scRNA-seq) has become a significant tool for addressing complex issuess in the field of biology. In the context of scRNA-seq analysis, it is imperative to accurately determine the type of each cell. However, co...
Algorithms Animals Mice Computational Biology Lung Sequence Analysis, RNA Deep Learning Supervised Machine Learning Single-Cell Analysis
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CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images.

Medical image analysis Apr 19, 2025
Since the outbreak of the COVID-19 pandemic in 2019, medical imaging has emerged as a primary modality for diagnosing COVID-19 pneumonia. In clinical settings, the segmentation of lung infections from computed tomography images enables rapid and accu...
Humans Neural Networks, Computer COVID-19 Tomography, X-Ray Computed SARS-CoV-2 Lung Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Radiomics for lung cancer diagnosis, management, and future prospects.

Clinical radiology Apr 11, 2025
Lung cancer remains the leading cause of cancer-related mortality worldwide, with its early detection and effective treatment posing significant clinical challenges. Radiomics, the extraction of quantitative features from medical imaging, has emerged...
Lung Lung Neoplasms Humans Artificial Intelligence Radiomics
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Machine-Learning-Based Computed Tomography Radiomics Regression Model for Predicting Pulmonary Function.

Academic radiology Apr 10, 2025
RATIONALE AND OBJECTIVES: Chest computed tomography (CT) radiomics can be utilized for categorical predictions; however, models predicting pulmonary function indices directly are lacking. This study aimed to develop machine-learning-based regression ...
Female Aged Adult Radiomics Forced Expiratory Volume Humans Machine Learning Male Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Middle Aged Respiratory Function Tests Tomography, X-Ray Computed Lung Vital Capacity Regression Analysis
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