Pulmonology

Nephropathy 1 Formula (N1F) mitigates cisplatin-induced acute kidney injury by inhibiting TAK1-dependent NF-κB signaling.

ETHNOPHARMACOLOGICAL RELEVANCE: Nephropathy 1 Formula (N1F) derives from the classical traditional Chinese medicine (TCM) prescription Biejia Jian Wan ("Turtle Carapace Pill"). Rooted in the TCM collateral disease theory, N1F has been clinically used for more than a decade at The First Affiliated Hospital of Wenzhou Medical University to protect renal function. Its therapeutic principles are close...

An automated framework for quantitative alveolar bone loss using deep learning-based landmark detection.

OBJECTIVE: To develop and evaluate an automated framework for full-mouth quantification of radiographic alveolar bone loss (ABL) on panoramic radiographs by integrating deep-learning landmark detection with curve fitting. METHODS: A total of 760 PANs (532/152/76) were annotated by two trained dentists, with third-expert adjudication. Three networks were evaluated: TransPose and HRNet for heatmap-b...

A lightweight CNN for enhanced non-small cell lung cancer classification using CT scan image.

Lung cancer is a leading cause of cancer-related mortality worldwide, and its early and accurate detection is critical for improving patient outcomes....

Towards fully automated synthetic ECV quantification: an open-access machine learning-based approach for fast blood draw-free CMR.

Extracellular volume (ECV) quantification involves time-consuming multi-step post-processing and a blood draw for hematocrit analysis. This study aime...

AI-powered surveillance of bronchiolitis in the Nirsevimab era: comparative performance of machine learning, deep learning, and large language models on free-text ED records.

CT image-based machine learning models for predicting blood eosinophil levels in acute exacerbation of chronic obstructive pulmonary disease.

Future Perspectives for Artificial Intelligence in Allergy: Advances in Diagnosis, Monitoring, and Personalized Care.

Artificial intelligence (AI) is significantly transforming the specialty of allergy by offering novel tools for diagnosis, risk prediction, disease mo...

[Plasma proteomics in age-related macular degeneration].

BACKGROUND: Neovascular age-related macular degeneration (nAMD) shows a heterogeneous treatment response to anti-vascular endothelial growth factor (V...

GOLD 2026: Transforming COPD Management with Early Intervention, Multi-dimensional Assessment, and Personalized Care.

The 2026 report from the Global Initiative for Chronic Obstructive Lung Disease (GOLD) introduces substantial conceptual and practical updates to the ...

AI-Based Screening for At-Risk MASLD and Advanced Fibrosis in the US Population: A Cost-Effectiveness Analysis.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is highly prevalent and often underdiagnosed until advanced fibrosis, lea...

Bridging Population Patterns and Individual Prediction: Framework for Prospective Multimorbidity Study.

BACKGROUND: Multimorbidity has become a major global public health challenge. However, existing research primarily emphasizes the identification of di...

Non-contact monitoring in neonatology.

To present and critically evaluate current contactless monitoring modalities - infrared thermography (IRT), photoplethysmography imaging (PPGI), balli...

Accuracy and reproducibility of tumor size measurement using a deep-learning-based CDSS in resected lung cancer.

PURPOSE: MONCAD LCT is a commercially available deep-learning based clinical decision support system (CDSS) for lung screening CT. The aim of this mul...

Fusing serum peptidome profiles with clinical variables via machine learning for pulmonary embolism risk assessment.

Pulmonary embolism (PE) remains a life-threatening cardiovascular emergency that requires timely and accurate diagnosis. Current diagnostic strategies...

Machine learning-based predictive model for the diagnosis of PH pulmonary hypertension diagnosis integrating cardiac magnetic resonance imaging and clinical biomarkers.

SHAP based feature selection for machine learning prediction of mycoplasma pneumoniae pneumonia with atelectasis in children.

Revolutionizing hepatic fibrosis staging: A machine learning approach combining clinical, biochemical, and microbiome insights.

Non-alcoholic Steatohepatitis (NASH) is a common disease that not only affects adults but has also been seen to affect all ages. This includes young a...

Machine learning-based prognostic analysis of patients with status epilepticus in the neurological intensive care unit.

OBJECTIVE: This study aimed to develop and validate machine learning (ML) models for predicting the prognosis of status epilepticus (SE) patients with...

Prescription‑dose stratification improves deep learning‑based VMAT dose prediction in locally advanced NSCLC.

Volumetric-modulated arc therapy (VMAT) planning for locally advanced non-small cell lung cancer (NSCLC) is an iterative and planner-dependent process...

Discovery of Peripheral Airway Beyond Incomplete CT Annotations for Navigational Bronchoscopy.

Sensitive reconstruction of peripheral airway branches is critical for bronchoscopic navigation, yet existing deep learning (DL) methods often struggl...