COPD

Distinct serum metabolic profiles with supportive diagnostic value in differentiating tuberculosis and Mycobacterium avium complex pulmonary disease.

BACKGROUND: Pulmonary infectious diseases caused by Mycobacterium species, including Mycobacterium tuberculosis and Mycobacterium avium complex (MAC), remain significant public health threats. However, current gold-standard diagnostics are time-consuming and have limited ability to differentiate these clinically similar presentations. This study investigated serum metabolic distinctions between tu...

Deep Learning-based Estimated Pulmonary Biological Age from Chest CT Images in Healthy Adults: a model development and validation study.

BACKGROUND: Estimated pulmonary biological age (ePBA) has emerged as a more reliable indicator for disease progression and mortality than chronological age, with chest CT as a promising tool for calculating ePBA. However, the lack of models trained and validated with large-scale healthy adults hinders the generalizability of the CT-based ePBA. OBJECTIVE: To develop an ageing biomarker (ePBA) from ...

Improving patient understanding of radiology reports using generative artificial intelligence: a vignette study of 2000 US adults.

OBJECTIVES: Patients value access to their medical reports on patient portals, but the terminology in those reports can cause confusion and anxiety. C...

Pulmonary Obstruction and Age, Not Activity, Associate With Muscle Oxidative Impairment in Smokers With and Without COPD.

BACKGROUND: Low muscle oxidative capacity is an extrapulmonary manifestation of chronic obstructive pulmonary disease (COPD) with unclear aetiology. W...

Artificial Intelligence-derived Measurements of Myosteatosis from Coronary Artery Calcium CT Scans to Predict COPD: The Multi-Ethnic Study of Atherosclerosis.

Purpose To evaluate the predictive value of myosteatosis as an opportunistic finding in coronary artery calcium (CAC) CT scans for clinically diagnose...

Filling the Gaps in Health Data: Using a Machine Learning Approach to Augment Partially Observed Variables Such as Smoking in Claims Data.

PURPOSE: Missing information is common in real-world claims data, particularly on behavioral confounders, for example, smoking. Often one category of ...

Oxidative stress-associated genes TPPP3 and VEGFA in COPD revealed by bulk and single-cell sequencing analysis.

Chronic obstructive pulmonary disease (COPD) is characterized by chronic airway inflammation and is closely linked to oxidative stress. This study aim...

Machine learning-driven identification of shared and disease-specific mitochondria-related genes in COPD, NSCLC, and NSCLC with COPD.

Chronic obstructive pulmonary disease (COPD) and non-small-cell lung cancer (NSCLC) often coexist; here, the shared mitochondrial drivers were investi...

Water parks, vaping, COPD topics on team management, exacerbations, bronchoscopic therapies, lung transplantation, and artificial intelligence.

Detection of Antithrombotic-Related Bleeding in Older Inpatients: Multicenter Retrospective Study Using Structured and Unstructured Electronic Health Record Data.

BACKGROUND: Bleeding complications are a major contributor to adverse drug events among older inpatients, particularly in those treated with antithrom...

Assumption-light feature discovery outperforms Cox-based selection for PM2.5 constituent analysis in an open benchmark.

AI misapplications are widespread in environmental research, often arising from limited understanding of machine learning assumptions and their alignm...

AI-driven low-cost rehabilitation exergame as a lightweight framework for stroke assessment.

Stroke is a leading cause of long-term disability, often affecting upper-limb motor function and requiring continuous assessment. The Fugl-Meyer Asses...

Raman and SERS analytical platform with machine learning for classifying wild type p53 and hotspot mutants R175H and R273H.

The development of analytical approaches capable of detecting subtle protein conformational changes is of significant interest in biomedicine, particu...

Reply to comment on "medication-based mortality prediction in COPD using machine learning and conventional statistical methods".

Multimodal data-driven multitask learning for enhanced identification and classification of chronic obstructive pulmonary disease: a retrospective study.

BACKGROUND: Chronic obstructive pulmonary disease (COPD), the third leading cause of death worldwide, demands prompt and precise identification and ph...

Automated landmark detection on lateral photographs using artificial intelligence: diagnostic accuracy compared to expert annotations.

PURPOSE: Lateral photographs are routinely evaluated as part of orthodontic diagnostics and treatment planning. Anthropometric measurements based on s...

Sex disparities in deep learning estimation of ejection fraction from cardiac magnetic resonance imaging.

The advent of artificial intelligence in cardiovascular imaging holds immense potential for earlier diagnoses, precision medicine, and improved diseas...

Reproducing real-world clinical prediction models using the DIVE platform: A comparative validation study across three chronic diseases.

OBJECTIVES: The aim of this analysis is to evaluate the performance and reproducibility of the Python-based Data Insight Validation Engine (DIVE), a m...

The Diagnosis and Treatment Technology of Port-Wine Stain, and the Prospect of Future Treatment.

Port-wine stain (PWS) is a congenital capillary malformation with a 0.3-0.5% prevalence. This article reviews key techniques and advancements in the d...

Artificial intelligence in lung scintigraphy.

Lung scintigraphy is a common nuclear medicine procedure for evaluating pulmonary perfusion and ventilation, particularly in the diagnosis of pulmonar...