Pulmonology

COPD

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

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Automated mechanical ventilator design and analysis using neural network.

Mechanical ventilation is the process through which breathing support is provided to patients who fa...

Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) affects breathing, speech production, and c...

Association between automatic AI-based quantification of airway-occlusive mucus plugs and all-cause mortality in patients with COPD.

In this cohort study involving 9399 current and former smokers from the Genetic Epidemiology of Chro...

Abnormality detection in nailfold capillary images using deep learning with EfficientNet and cascade transfer learning.

Nailfold Capillaroscopy (NFC) is a simple, non-invasive diagnostic tool used to detect microvascular...

Interpretable machine learning models for COPD ease of breathing estimation.

Chronic obstructive pulmonary disease (COPD) is a leading cause of death worldwide and greatly reduc...

A machine learning model and identification of immune infiltration for chronic obstructive pulmonary disease based on disulfidptosis-related genes.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a chronic and progressive lung disease. ...

Machine learning-assisted construction of COPD self-evaluation questionnaire (COPD-EQ): a national multicentre study in China.

BACKGROUND: Approximately 70% of chronic obstructive pulmonary disease (COPD) is underdiagnosed worl...

Machine learning identifies remodeling patterns in human lung extracellular matrix.

Organ function depends on the three-dimensional integrity of the extracellular matrix (ECM). The str...

Evaluation of an Artificial Intelligence-Based Tool and a Universal Low-Cost Robotized Microscope for the Automated Diagnosis of Malaria.

The gold standard diagnosis for malaria is the microscopic visualization of blood smears to identify...

The aluminum standard: using generative Artificial Intelligence tools to synthesize and annotate non-structured patient data.

BACKGROUND: Medical narratives are fundamental to the correct identification of a patient's health c...

Optimizing convolutional neural networks for Chronic Obstructive Pulmonary Disease detection in clinical computed tomography imaging.

We aim to optimize the binary detection of Chronic Obstructive Pulmonary Disease (COPD) based on emp...

Low-carbohydrate diet score and chronic obstructive pulmonary disease: a machine learning analysis of NHANES data.

BACKGROUND: Recent research has identified the Low-Carbohydrate Diet (LCD) score as a novel biomarke...

The effects of camel milk in systemic inflammation and oxidative stress of cigarette smoke-induced chronic obstructive pulmonary disease model in rat.

BACKGROUND: The effects of camel milk in inflammation and systemic oxidative stress of cigarette smo...

Concurrent validity and test reliability of the deep learning markerless motion capture system during the overhead squat.

Marker-based optical motion capture systems have been used as a cardinal vehicle to probe and unders...

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