AIMC Topic: Lung Diseases, Interstitial
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Development and validation of a CT-based radiomics machine learning model for differentiating immune-related interstitial pneumonia.
International immunopharmacology
May 27, 2025
INTRODUCTION: Immune checkpoint inhibitor-related interstitial pneumonia (CIP) poses a diagnostic challenge due to its radiographic similarity to other pneumonias. We developed a non-invasive model using CT imaging to differentiate CIP from other pne...
First nomogram for predicting interstitial lung disease and pulmonary arterial hypertension in SLE: a machine learning approach.
Respiratory research
May 24, 2025
BACKGROUND: Interstitial lung disease (ILD) and pulmonary arterial hypertension (PAH) are severe, life-threatening complications of systemic lupus erythematosus (SLE). Early identification of high-risk patients remains challenging due to the lack of ...
[Advances in pulmonary pathology in China over the past ten years: retrospect and prospect].
Zhonghua bing li xue za zhi = Chinese journal of pathology
May 8, 2025
Over the past decade, China has made remarkable achievements in the updating of molecular characteristics and diagnostic criteria of lung cancer, pathological characteristics of COVID-19, classification scheme of interstitial lung disease, applicatio...
Deep Learning for Predicting Acute Exacerbation and Mortality of Interstitial Lung Disease.
Annals of the American Thoracic Society
May 1, 2025
Some patients with interstitial lung disease (ILD) have a high mortality rate or experience acute exacerbation of ILD (AE-ILD) that results in increased mortality. Early identification of these high-risk patients and accurate prediction of the onset...
Sequential Prediction of Interstitial Lung Abnormalities Using Machine Learning.
Radiology
Sep 1, 2024
Automated Interstitial Lung Abnormality Probability Prediction at CT: A Stepwise Machine Learning Approach in the Boston Lung Cancer Study.
Radiology
Sep 1, 2024
Background It is increasingly recognized that interstitial lung abnormalities (ILAs) detected at CT have potential clinical implications, but automated identification of ILAs has not yet been fully established. Purpose To develop and test automated I...
The Analysis of Proteomics by Machine Learning in Separating Idiopathic Pulmonary Fibrosis from Connective Tissue Disease-Interstitial Lung Disease.
American journal of respiratory and critical care medicine
Aug 15, 2024
Machine Learning of Plasma Proteomics Classifies Diagnosis of Interstitial Lung Disease.
American journal of respiratory and critical care medicine
Aug 15, 2024
Distinguishing connective tissue disease-associated interstitial lung disease (CTD-ILD) from idiopathic pulmonary fibrosis (IPF) can be clinically challenging. To identify proteins that separate and classify patients with CTD-ILD and those with IPF...
Deep Learning Classification of Usual Interstitial Pneumonia Predicts Outcomes.
American journal of respiratory and critical care medicine
May 1, 2024
Computed tomography (CT) enables noninvasive diagnosis of usual interstitial pneumonia (UIP), but enhanced image analyses are needed to overcome the limitations of visual assessment. Apply multiple instance learning (MIL) to develop an explainable ...
Quantifying Fibrosis in Fibrotic Lung Disease: A Good Human Plus a Machine Is the Best Combination?
Annals of the American Thoracic Society
Feb 1, 2024
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