Pulmonology

COPD

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

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Showing 547-567 of 4,169 articles
A machine-learning-derived online prediction model for depression risk in COPD patients: A retrospective cohort study from CHARLS.

BACKGROUND: Depression associated with Chronic Obstructive Pulmonary Disease (COPD) is a detrimental...

SEMTWIST Quantification of Biofilm Infection in Human Chronic Wound Using Scanning Electron Microscopy and Machine Learning.

To develop scanning electron microscopy-based Trainable Weka (Waikato Environment for Knowledge Ana...

Predictive machine learning algorithm for COPD exacerbations using a digital inhaler with integrated sensors.

PURPOSE: By using data obtained with digital inhalers, machine learning models have the potential to...

The Accuracy of ChatGPT-4o in Interpreting Chest and Abdominal X-Ray Images.

Large language models (LLMs), such as ChatGPT, have emerged as potential clinical support tools to ...

A Call for Integrated Approaches in Digital Technology Design for Aging and Disability.

The fields of aging and disability often proceed as 2 distinct lines of inquiry and action in terms ...

Metabolomic Plasma Profile of Chronic Obstructive Pulmonary Disease Patients.

The analysis of blood metabolites may help identify individuals at risk of having COPD and offer ins...

Identifying GAP43, NMU, and TEX29 as Potential Prognostic Biomarkers for COPD Combined With Lung Cancer Patients Using Machine Learning.

Chronic obstructive pulmonary disease (COPD) and lung cancer, frequently comorbid conditions intrica...

Predicting outcomes after hospitalisation for COPD exacerbation using machine learning.

BACKGROUND: Early readmission and death are critical adverse outcomes following hospitalisation due ...

Deep Learning for Predicting Acute Exacerbation and Mortality of Interstitial Lung Disease.

Some patients with interstitial lung disease (ILD) have a high mortality rate or experience acute e...

Clinical and Social Characterization of Patients Hospitalized for COPD Exacerbation Using Machine Learning Tools.

OBJECTIVE: This study aims to employ machine learning (ML) tools to cluster patients hospitalized fo...

Audio-based digital biomarkers in diagnosing and managing respiratory diseases: a systematic review and bibliometric analysis.

Advances in wearable sensors and artificial intelligence have greatly enhanced the potential of digi...

The Role of AI in Reshaping Medical Education: Opportunities and Challenges.

Artificial intelligence (AI) is redefining medical education, bringing new dimensions of personalize...

Diagnostic Accuracy and Clinical Value of a Domain-specific Multimodal Generative AI Model for Chest Radiograph Report Generation.

Background Generative artificial intelligence (AI) is anticipated to alter radiology workflows, requ...

[Application of artificial intelligence in combination with CT radiomics in chronic obstructive pulmonary disease].

As CT imaging is increasingly used for the evaluation of lung nodules and the diagnosis and screenin...

Identifying Common Diagnostic Biomarkers and Therapeutic Targets between COPD and Sepsis: A Bioinformatics and Machine Learning Approach.

BACKGROUND: Evidence suggests a bidirectional association between chronic obstructive pulmonary dise...

Relationships between vitamin C intake and COPD assessed by machine learning approaches from the NHANES (2017-2023).

BACKGROUND: This research aims to explore the possible link between Vitamin C Intake (VCI) and the i...

Home spirometry telemonitoring in pediatric patients with asthma: a mixed study.

BACKGROUND: To evaluate the feasibility and practicality of home spirometry telemonitoring for pedia...

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