Pulmonology

Segmentation and calculation of lung fibrosis in IPF mice by 2.5D UNet.

BACKGROUND: Idiopathic pulmonary fibrosis significantly threatens patient survival and remains a con...

Machine learning frameworks for predicting pulmonary cell toxicities induced by metal ions in the atmosphere.

Metals in PM2.5 are closely associated with cardiopulmonary disease endpoints, potentially attributa...

Robust multimodal mental workload classification: A cross-physiological condition machine learning approach.

BACKGROUND AND OBJECTIVE: Aircraft pilots can be faced with a high mental workload (MW) combined wit...

Image Quality Assessment of Artificial Intelligence Iterative Reconstruction for Low-dose Bronchial Artery CTA in Preoperative Hemoptysis Patients.

OBJECTIVES: To investigate the feasibility and image quality of artificial intelligence iterative re...

Artificial intelligence in the diagnosis and prognosis of pediatric bacterial pneumonia: current advances and challenges.

PURPOSE OF REVIEW: The clinical presentation of pediatric bacterial pneumonia often overlaps with th...

Plasma proteomics biomarkers for predicting anti-tuberculosis drug-induced liver injury: A comprehensive assessment.

AIMS: This study aims to identify predictive plasma protein biomarkers for anti-tuberculosis drug-in...

Prediction hospital mortality for critical illness lung cancer patients with pneumonia.

Machine Learning Predictive Models for Prognosis in Patients undergoing Endovascular Abdominal Aortic Aneurysm Repair.

BACKGROUND: An increasing number of patients with abdominal aortic aneurysms (AAAs) are opting for e...

Next-generation lung-cancer-on-a-chip: toward personalized therapy, AI, and CRISPR-driven models.

Lung-cancer-on-a-chip (LCOC) technologies have advanced rapidly, yet most models evaluate mechanical...

Old Criteria, New Intelligence: The Evolution of ECG in Pulmonary Hypertension Diagnosis.

BACKGROUND: Pulmonary hypertension (PH) carries a significant mortality risk, highlighting the need ...

Harnessing artificial intelligence for the assessment of liver fibrosis and steatosis via multiparametric ultrasound.

Artificial intelligence (AI) is revolutionizing medical imaging, particularly in chronic liver disea...

Single-inspiratory quantitative CT nomogram for enhanced PRISm and COPD differentiation: a cross-sectional study with interpretable diagnostic boundaries.

BACKGROUND: Differentiating preserved ratio impaired spirometry (PRISm) from chronic obstructive pul...

Development and deployment of an interpretable stacking ensemble model for predicting in-hospital mortality in ICU patients with chronic kidney disease and sepsis.

OBJECTIVE: To develop an interpretable stacking ensemble model for predicting in-hospital mortality ...

Rapid, non-invasive diagnosis of tuberculosis using desorption separation ionization mass spectrometry (DSI-MS) and urinary carbonyl metabolite fingerprints.

Tuberculosis (TB) remains a leading global infectious disease that demands rapid, non-invasive diagn...

Ridge-structured PANI with interfacial stress-concentrating: reversible protonation driven high sensitivity over wide pressures.

In research on pressure-sensitive electronic skin (e-skin) for motion and physiological signal monit...

From data to diagnosis: A comprehensive review of machine learning-driven wearable sensors in healthcare.

The integration of machine learning (ML) with advanced wearable sensor technologies is revolutionizi...

Prediction of the Preclinical Stage of Coal Workers' Pneumoconiosis on Nonimaging Data Integrating Prior Knowledge and Machine Learning.

OBJECTIVE: This study aims to establish machine learning models using nonimaging data from health ex...

Communicable diseases platform (CDP): Real-Time clinical analytics for infections.

OBJECTIVE: Communicable diseases, especially seasonal respiratory illnesses, contribute significantl...

Automated diagnosis of usual interstitial pneumonia on chest CT via the mean curvature of isophotes.

PURPOSE: To test whether the mean curvature of isophotes (MCI), a geometric image transformation, ca...

Diagnostic Accuracy of Artificial Intelligence in Detecting Pleural Effusion on Ultrasound Imaging: A Systematic Review and Meta-Analysis.

Artificial intelligence (AI) interpretation of ultrasound (US) images is promising, yet its accuracy...

Physiological-model-based neural network for modeling the metabolic-heart rate relationship during physical activities.

BACKGROUND AND OBJECTIVE: Heart failure (HF) poses a significant global health challenge, with early...