Pulmonology

COPD

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

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Time-Aware Tranformer-Based Prediction Model for AECOPD.

The rapid symptom change of Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) mak...

Glucagon-like Peptide-1 Receptor Agonists in Asthma Exacerbations: An Application of High-Dimensional Iterative Causal Forest to Identify Subgroups.

BACKGROUND: Glucagon-like Peptide-1 Receptor Agonists (GLP1RA) may reduce asthma exacerbation (AE) r...

The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetes.

BACKGROUND AND OBJECTIVE: Diabetes is a chronic disease characterised by a high risk of developing d...

[Optimizing a standardized management model for chronic obstructive pulmonary disease in primary healthcare institutions].

Chronic obstructive pulmonary disease (COPD) affects nearly 100 million individuals in China and has...

Machine Learning-Driven Multi-Emission Fluorescence Array for Simultaneous Size Discrimination and Quantification of Gold Nanoparticles.

Gold nanoparticles (AuNPs) exhibit size-dependent environmental behaviors and bioaccumulation risks,...

Diagnostic tools in respiratory medicine (Review).

Recent advancements in diagnostic technologies have significantly transformed the landscape of respi...

The machine learning prediction model of non-alcoholic fatty liver; the role of hydrogen and methane breath tests.

Nonalcoholic fatty liver disease (NAFLD) is now the leading cause of global chronic liver disease, a...

Exploring nanoparticles in lungs under COPD conditions for nanospray drug flow and deposition: CFD simulations and AI predictions.

Chronic obstructive pulmonary disease (COPD) plays a heavy burden on individuals and the social heal...

DeepFuse: A multi-rater fusion and refinement network for computing silver-standard annotations.

Achieving a reliable and accurate biomedical image segmentation is a long-standing problem. In order...

Whole Brain 3D T1 Mapping in Multiple Sclerosis Using Standard Clinical Images Compared to MP2RAGE and MR Fingerprinting.

Quantitative T1 and T2 mapping is a useful tool to assess properties of healthy and diseased tissues...

Transforming pulmonary health care: the role of artificial intelligence in diagnosis and treatment.

INTRODUCTION: Respiratory diseases like pneumonia, asthma, and COPD are major global health concerns...

A robust chronic obstructive pulmonary disease classification model using dragonfly optimized kernel extreme learning machine.

Chronic obstructive pulmonary disease (COPD) is considered to be one of the most commonly occurring ...

Practical Approach for Evaluating Machine Learning Anomaly Detection Algorithms for Epidemic Early Warning Systems.

Anomaly detection methods in time series data can play a pivotal role in epidemic surveillance Early...

Artificial Intelligence Powered Audiomics: The Futuristic Biomarker in Pulmonary Medicine - A State-of-the-Art Review.

AI-driven "audiomics" leverages voice and respiratory sounds as non-invasive biomarkers to diagnose ...

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