Pulmonology

COPD

Latest AI and machine learning research in copd for healthcare professionals.

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Showing 106-126 of 4,163 articles
Artificial intelligence and microbiome research: Evolution of hotspots, research trends, and thematic-based narrative review.

Artificial intelligence (AI) and microbiome have emerged in recent years as transformative fields wi...

Convolutional neural network for colorimetric glucose detection using a smartphone and novel multilayer polyvinyl film microfluidic device.

Detecting glucose levels is crucial for diabetes patients as it enables timely and effective managem...

BreathVisionNet: A pulmonary-function-guided CNN-transformer hybrid model for expiratory CT image synthesis.

BACKGROUND AND OBJECTIVE: Chronic obstructive pulmonary disease (COPD) has high heterogeneity in eti...

Transfer learning in spirometry: CNN models for automated flow-volume curve quality control in paediatric populations.

PROBLEM: Current spirometers face challenges in evaluating acceptability criteria, often requiring m...

Interpretable machine learning uncovers epithelial transcriptional rewiring and a role for Gelsolin in COPD.

Transcriptomic analyses have advanced the understanding of complex disease pathophysiology including...

Screening the Best Risk Model and Susceptibility SNPs for Chronic Obstructive Pulmonary Disease (COPD) Based on Machine Learning Algorithms.

BACKGROUND AND PURPOSE: Chronic obstructive pulmonary disease (COPD) is a common and progressive dis...

Using 3D point cloud and graph-based neural networks to improve the estimation of pulmonary function tests from chest CT.

Pulmonary function tests (PFTs) are important clinical metrics to measure the severity of interstiti...

Screening COPD-Related Biomarkers and Traditional Chinese Medicine Prediction Based on Bioinformatics and Machine Learning.

PURPOSE: To employ bioinformatics and machine learning to predict the characteristics of immune cell...

Machine-Learning Model Identifies Patients With Alpha-1 Antitrypsin Deficiency Using Claims Records.

Identifying patients with rare diseases like alpha-1 antitrypsin deficiency (AATD) is challenging. M...

Identification of Nocturnal Leg Cramps and Affecting Factors in COPD Patients: Logistic Regression and Artificial Neural Network.

Although there are many sleep-related complaints in chronic obstructive pulmonary disease (COPD) pat...

Using machine learning for early detection of chronic obstructive pulmonary disease: a narrative review.

Chronic obstructive pulmonary disease (COPD) is a prevalent respiratory disease and ranks third in g...

Quantitative CT Imaging Features Associated with Stable PRISm using Machine Learning.

RATIONALE AND OBJECTIVES: The structural lung features that characterize individuals with preserved ...

Artificial intelligence in COPD CT images: identification, staging, and quantitation.

Chronic obstructive pulmonary disease (COPD) stands as a significant global health challenge, with i...

COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a severe condition affecting millions wo...

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