AIMC Topic: Pulmonary Disease, Chronic Obstructive

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Explicate molecular landscape of combined pulmonary fibrosis and emphysema through explainable artificial intelligence: a comprehensive analysis of ILD and COPD interactions using RNA from whole lung homogenates.

Medical & biological engineering & computing Apr 22, 2024
Combined pulmonary fibrosis and emphysema (CPFE) presents a unique challenge in respiratory disorders, merging features of interstitial lung disease (ILD) and chronic obstructive pulmonary disease (COPD). Using the random forest algorithm, our study ...
Pulmonary Emphysema RNA MicroRNAs Pulmonary Fibrosis Lung Diseases, Interstitial Humans Pulmonary Disease, Chronic Obstructive Artificial Intelligence Lung Machine Learning Gene Expression Profiling
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Development and application of a deep learning-based comprehensive early diagnostic model for chronic obstructive pulmonary disease.

Respiratory research Apr 18, 2024
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a frequently diagnosed yet treatable condition, provided it is identified early and managed effectively. This study aims to develop an advanced COPD diagnostic model by integrating deep lear...
Humans Deep Learning ROC Curve Area Under Curve Neural Networks, Computer Retrospective Studies Pulmonary Disease, Chronic Obstructive
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Screening and staging of chronic obstructive pulmonary disease with deep learning based on chest X-ray images and clinical parameters.

BMC pulmonary medicine Mar 26, 2024
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is underdiagnosed with the current gold standard measure pulmonary function test (PFT). A more sensitive and simple option for early detection and severity evaluation of COPD could benefit prac...
Humans Deep Learning Thorax Retrospective Studies X-Rays Pulmonary Disease, Chronic Obstructive
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COPD stage detection: leveraging the auto-metric graph neural network with inspiratory and expiratory chest CT images.

Medical & biological engineering & computing Feb 16, 2024
Chronic obstructive pulmonary disease (COPD) is a common lung disease that can lead to restricted airflow and respiratory problems, causing a significant health, economic, and social burden. Detecting the COPD stage can provide a timely warning for p...
Female Aged Pulmonary Disease, Chronic Obstructive Machine Learning Tomography, X-Ray Computed Exhalation Inhalation Male Middle Aged Lung Humans Neural Networks, Computer
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Demystification of artificial intelligence for respiratory clinicians managing patients with obstructive lung diseases.

Expert review of respiratory medicine Jan 25, 2024
INTRODUCTION: Asthma and chronic obstructive pulmonary disease (COPD) are leading causes of morbidity and mortality worldwide. Despite all available diagnostics and treatments, these conditions pose a significant individual, economic and social burde...
Machine Learning Pulmonary Disease, Chronic Obstructive Humans Asthma Artificial Intelligence
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COPD: artificial intelligence detects and quantifies anomalies on chest CT enabling prediction of disease severity.

European radiology Jan 23, 2024
Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Severity of Illness Index Radiography, Thoracic Humans Artificial Intelligence
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Machine Learning and CT Texture Features in Ex-smokers with no CT Evidence of Emphysema and Mildly Abnormal Diffusing Capacity.

Academic radiology Dec 30, 2023
RATIONALE AND OBJECTIVES: Ex-smokers without spirometry or CT evidence of chronic obstructive pulmonary disease (COPD) but with mildly abnormal diffusing capacity of the lungs for carbon monoxide (DL) are at higher risk of developing COPD. It remains...
Spirometry Pulmonary Diffusing Capacity Magnetic Resonance Imaging Pulmonary Emphysema Retrospective Studies Aged Sensitivity and Specificity Humans Tomography, X-Ray Computed Male Aged, 80 and over Machine Learning Female Middle Aged Pulmonary Disease, Chronic Obstructive
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Prediction of disease severity in COPD: a deep learning approach for anomaly-based quantitative assessment of chest CT.

European radiology Dec 27, 2023
OBJECTIVES: To quantify regional manifestations related to COPD as anomalies from a modeled distribution of normal-appearing lung on chest CT using a deep learning (DL) approach, and to assess its potential to predict disease severity.
Tomography, X-Ray Computed Deep Learning Female Aged Humans Cohort Studies Pulmonary Disease, Chronic Obstructive Lung Predictive Value of Tests Male Severity of Illness Index Middle Aged
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Knowledge Guided Feature Aggregation for the Prediction of Chronic Obstructive Pulmonary Disease With Chinese EMRs.

IEEE/ACM transactions on computational biology and bioinformatics Dec 25, 2023
The automatic disease diagnosis utilizing clinical data has been suffering from the issues of feature sparse and high probability of missing values. Since the graph neural network is a effective tool to model the structural information and infer the ...
Humans Neural Networks, Computer Electronic Health Records Pulmonary Disease, Chronic Obstructive China Semantics
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Deep learning prediction of hospital readmissions for asthma and COPD.

Respiratory research Dec 13, 2023
QUESTION: Severe asthma and COPD exacerbations requiring hospitalization are linked to increased disease morbidity and healthcare costs. We sought to identify Electronic Health Record (EHR) features of severe asthma and COPD exacerbations and evaluat...
Patient Readmission Male Deep Learning Humans Retrospective Studies Hospitalization Female Pulmonary Disease, Chronic Obstructive Asthma
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