Pulmonology

Patient-ventilator asynchronies beyond the waveform.

PURPOSE OF REVIEW: Patient-ventilator asynchrony is commonly treated as a technical mismatch requiri...

A machine learning model for in-hospital mortality prediction in patients with sepsis-related myocardial injury.

Sepsis-related myocardial injury (SRMI) is associated with high mortality, but the transportability ...

ReViT-RF: A hybrid ResNet-50-Vision Transformer with a Radiomic Feature Fusion framework for lung tumor classification and TNM-based stage prediction using CT images.

Lung cancer is one of the leading causes of cancer-related mortality worldwide, emphasizing the need...

Machine Learning-Based Brightfield Detection of Anti-Fibrotic Effects in a 3D Retinal Fibrosis Model.

Three-dimensional (3D) spheroid and microtissue models are increasingly used in phenotypic drug disc...

A novel serum four-biomarker biosignature and field-deployable colloidal gold strip for accurate identification of subclinical and active tuberculosis.

BACKGROUND: Current TB diagnostics fail to detect subclinical and paucibacillary cases, hindering En...

Development and Validation of a Machine Learning Model for Predicting 28-Day Mortality in Patients with Sepsis-Associated Encephalopathy and Heart Failure.

IntroductionPatients with sepsis-associated encephalopathy (SAE) and heart failure (HF) represent a ...

Large language models in the diagnosis and treatment of immunosuppression-related infections in rheumatic diseases: a comparative, vignette-based study.

This study compared the diagnostic accuracy, initial test selection, and initial treatment choices o...

Integrating machine learning failure probabilities and tracer-based infiltration indicators for sewer condition screening and asset management.

Wastewater utilities need transparent decision-support methods to prioritise sewer rehabilitation wh...

Interpretable Machine Learning Predicts Successful Weaning and ICU discharge alive Following Prone Positioning Ventilation in Moderate-to-Severe Acute Respiratory Distress Syndrome (ARDS) Secondary to Pneumonia.

OBJECTIVE: We developed and validated interpretable machine learning models predicting successful we...

Hemoglobin Exhibits a U-Shaped Association with Obstructive Sleep Apnea at High Altitude: Machine-Learning and Exploratory Interventional Evidence.

OBJECTIVES: Chronic high-altitude hypoxia induces adaptive erythrocytosis, but the relationship betw...

Preclinical models of COPD: a state of the art review.

COPD is a progressive and heterogeneous condition characterised by varying combinations of emphysema...

Reply to: Estimating mean pulmonary arterial pressure in the machine learning era.

Estimating mean pulmonary arterial pressure in the machine learning era.

Machine learning models for prediction of continuous positive airway pressure failure and high-flow nasal cannula failure in preterm neonates with respiratory distress.

UNLABELLED: This study aims to develop and internally validate separate machine learning models pred...

A simple clinical model for predicting multiple liver histologic injuries in obese individuals undergoing bariatric surgery.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is common among obese i...

Machine-Learning-Driven Simulations of Hyperthermal Atomic Oxygen Impacts on (0001) Al2O3 for Low-Altitude Satellite Design.

In Very Low Earth Orbit (VLEO), spacecraft encounter residual atmosphere primarily composed of atomi...

Real-World Effectiveness of AI-Enabled Clinical Decision Support in Primary Care: Systematic Review.

BACKGROUND: AI-enabled clinical decision support systems (CDSS) are being used in primary care, but ...

A Machine Learning Approach to Respiratory Biomechanics: Identifying a PCA-Derived Membrane-Volume Coupling Pattern in Post-COVID Pulmonary Function.

BACKGROUND: Persistent dyspnoea after COVID-19 may not be fully explained by conventional pulmonary ...

Pharmacokinetic evaluation of inhaled formulations: from in vitro models to clinical assessment.

Pulmonary drug delivery systems (PDDS) represent a strategic approach for the localized treatment of...

An intelligent evaluation model for spirometry quality using wavelet and deep time-series methods.

Objective:Quality control of spirometry is a critical yet challenging prerequisite for accurate pulm...

Machine Learning Predictions of PM2.5 and Their Applications to Exposure and Health Assessment in the CONUS.

Atmospheric fine particulate matter (PM2.5) is one of the most important risk factors for various re...