COPD

Machine learning model based on survey assessment of sleep quality in chronic obstructive pulmonary disease patients.

PURPOSE: The aim is to develop a learning model based on clinical and survey data to assess sleep qu...

Predicting Superaverage Length of Stay in COPD Patients with Hypercapnic Respiratory Failure Using Machine Learning.

OBJECTIVE: The purpose of this study was to develop and validate machine learning models that can pr...

Evaluating the Cumulative Benefit of Inspiratory CT, Expiratory CT, and Clinical Data for COPD Diagnosis and Staging through Deep Learning.

Purpose To measure the benefit of single-phase CT, inspiratory-expiratory CT, and clinical data for ...

[Clinical Validation Study of Deep Learning-Generated Magnetic Resonance Images].

This research utilizes a deep learning-based image generation algorithm to generate pseudo-sagittal ...

Identification of diagnostic biomarkers and immune cell profiles associated with COPD integrated bioinformatics and machine learning.

This retrospective transcriptomic study leveraged bioinformatics and machine learning algorithms to ...

Examining the effectiveness of artificial intelligence applications in asthma and COPD outpatient support in terms of patient health and public cost: SWOT analysis.

This research aimed to examine the effectiveness of artificial intelligence applications in asthma a...

Laying the Foundation: Modern Transformers for Gold-Standard Sleep Analysis and Beyond.

Accurate sleep assessment is critical to the practice of sleep medicine and sleep research. The rece...

Audio Cough Analysis by Parametric Modelling of Weighted Spectrograms to Interpret the Output of Convolutional Neural Networks.

This study explores the feasibility of employing eXplainable Artificial Intelligence (XAI) methodolo...

Towards Personalized Inhalation Therapy by Correlating Chest CT Imaging and Pulmonary Function Test Features Using Machine Learning.

Inhalation therapy is the predominant method of treatment for a variety of respiratory diseases. The...

Ethical considerations for artificial intelligence in dermatology: a scoping review.

The field of dermatology is experiencing the rapid deployment of artificial intelligence (AI), from ...

Deep Learning-Based Kernel Adaptation Enhances Quantification of Emphysema on Low-Dose Chest CT for Predicting Long-Term Mortality.

OBJECTIVES: The aim of this study was to ascertain the predictive value of quantifying emphysema usi...

An intentional approach to managing bias in general purpose embedding models.

Advances in machine learning for health care have brought concerns about bias from the research comm...

Assessment of Osteoprotegerin and Receptor Activator of Nf-Κb Ligand in Malaysian Male Patients with Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study.

Background: Limited information exists regarding the pathophysiological interactions between osteopo...

A framework for language technologies in behavioral research and clinical applications: Ethical challenges, implications, and solutions.

Technological advances in the assessment and understanding of speech and language within the domains...

[Advances in chest imaging in early chronic obstructive pulmonary disease].

Chronic obstructive pulmonary disease(COPD)is a heterogeneous and complex disease, and is characteri...

[Gentle Method to Elevate Left Liver Lobe in Robot Assisted Gastrectomy].

Robot-assisted gastrectomy with the Davinci XiTM has been performed in our department since August 2...

Machine learning and deep learning predictive models for long-term prognosis in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis.

BACKGROUND: Machine learning and deep learning models have been increasingly used to predict long-te...

Research on Pectoral Muscle Segmentation Algorithm of CT Image Based on Deep Learning.

Chronic obstructive pulmonary disease (COPD) is a common respiratory disease, which seriously endang...

The Promise of Quantitative Computed Tomographic Analysis in Assessing Progression of Interstitial Lung Abnormalities and Emphysema in Smokers.

Deep Learning Assessment of Progression of Emphysema and Fibrotic Interstitial Lung Abnormality.

Although studies have evaluated emphysema and fibrotic interstitial lung abnormality individually, ...

Sputum Neutrophil Gelatinase-Associated Lipocalin as a Biomarker in Asthma-COPD Overlap.

BACKGROUND: Asthma COPD overlap (ACO) is a consensus-based phenotype having characteristics of both ...