Pulmonology

Identification and validation of biomarkers related to lysine β-hydroxybutyrylation in chronic obstructive pulmonary disease based on transcriptomics data.

Topo-UNet: A topology-aware multi-task network for pulmonary vessel segmentation.

The precise segmentation of pulmonary vessels is crucial for the early diagnosis and treatment of pu...

Three-dimensional oxygen maps of tumors in real time - Analysis in the context of active tumor vasculature.

BACKGROUND AND OBJECTIVE: Characterizing the tumor microenvironment (TME) requires integrating multi...

Adapting the REVEAL Lite 2 score to the pediatric population through machine learning: insights from the REHIPED registry for pediatric pulmonary hypertension.

INTRODUCTION AND OBJECTIVES: Risk scores for pulmonary hypertension (PH) have been proven useful in ...

Percutaneous Lung Biopsies Aided by Artificial Intelligence: A Comparison Between Computer and Physician-Chosen Biopsy Paths.

OBJECTIVE: To compare Trajectory Recommendation Algorithm for CT-guided Biopsy (TRAX)-generated lung...

IL11⁺ fibroblasts are implicated in non-response to anti-TNFα via fibrosis in inflammatory bowel disease.

Inflammatory bowel disease (IBD) is frequently accompanied by intestinal fibrosis, with non-response...

Machine learning analysis of continuous glucose monitoring identifies a novel dysglycemic phenotype found in most people with cystic fibrosis.

BACKGROUND: Cystic fibrosis related diabetes (CFRD) is a common complication in people with cystic f...

Updates on tuberculosis imaging.

Tuberculosis (TB) remains a leading infectious cause of morbidity and mortality worldwide, and major...

Machine learning identifies prognosticators of intracranial metastatic disease in patients with breast or lung cancer.

BACKGROUND: Intracranial metastatic disease is a severe complication of cancer that confers substant...

Comprehensive analysis of predictive models for disease manifestations and case fatality in systemic lupus erythematosus.

This systematic review evaluated the performance and risk of bias in Systemic Lupus Erythematosus (S...

Emerging technologies and AI-assisted tools in cardiopulmonary monitoring.

PURPOSE OF REVIEW: Cardiopulmonary monitoring is fundamental to critical care, yet traditional appro...

Biomarkers of mitochondrial dynamics in idiopathic pulmonary fibrosis: Identification and validation through transcriptomic and single-cell analyses.

BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive fibrotic lung disease that has incr...

A multi-scale patch transformer for cross-sequence forecasting: Application to EMG-respiration prediction.

Accurately predicting respiratory signals from electromyography envelopes is crucial for non-invasiv...

Artificial Intelligence in Occupational Health Surveillance: Evaluating AI-Assisted ILO Classification of Radiographs of Pneumoconioses.

BACKGROUND: Pneumoconioses remain an important occupational health issue, particularly in low- and m...

Artificial intelligence construction: a review of the bridge between CT imaging features of lung ground-glass nodules adenocarcinoma and carcinogenic driver genes.

Lung ground-glass nodules (GGNs) represent a critical early imaging manifestation of lung adenocarci...

FOSL2 regulates endothelial cell state and chromatin accessibility in systemic sclerosis pulmonary vascular remodeling.

Systemic sclerosis (SSc) is characterized by fibrosis and vasculopathy affecting the skin and intern...

Using a large language model artificial intelligence agent to improve the efficiency of clinical quality measure evidence evaluation: a case study.

OBJECTIVES: To evaluate the feasibility and performance of a large language model (LLM)-based artifi...

DeepFAN, a transformer-based model for human-artificial intelligence collaborative assessment of incidental pulmonary nodules in CT scans: a multireader, multicase trial.

The widespread adoption of computed tomography has increased the detection of lung nodules. However,...

Key factors of the deranged antiviral response in elderly patients with COVID-19: a machine-learning analysis.

Age is a well-known risk factor to develop severe viral respiratory infections, including severe COV...

Multiclass lung cancer detection using a hybrid capsule inspired deep neural network.

Convolutional Neural Networks are widely used in lung cancer detection for more than a decade. Howev...

NSUN2 restrains renal fibrosis via m5C-stabilized GPX4 and ferroptosis inhibition.

BACKGROUND: Renal fibrosis (RFib) is a final common pathway in chronic kidney disease (CKD) progress...