Pulmonology

A Novel Dosing Strategy for Tacrolimus in Lung Transplant Recipients: Integrating Machine Learning with Population Pharmacokinetic Analysis.

BACKGROUND: Integrating machine learning (ML) with population pharmacokinetic (PPK) modeling may imp...

Securing Safety and Quality in AI-generated Patient Education: A Nurse-led Methodological Framework Integrating Kolcaba's Comfort Theory.

Generative artificial intelligence offers personalized patient education, yet clinical inaccuracy an...

Computer modeling to improve measurement of stroke volume with echocardiography.

BACKGROUND: The stroke volume (SV) can be measured by a human expert (HE) using the left ventricular...

Diagnostic performance of machine learning models based on dual-phase 99mTc-MIBI SPECT/CT semiquantitative parameters for differentiating benign and malignant pulmonary nodules.

PURPOSE: To evaluate the diagnostic value of machine learning models based on dual-phase 99mTc-MIBI ...

Development and external validation of a dual-stage predictive model for self-reported physician-diagnosed chronic lung disease, asthma, and lung cancer in Chinese adults.

Chronic respiratory diseases represent a leading cause of global mortality, yet robust prediction to...

A Pulmonary Ultrasound Dataset for Tumor Segmentation and Classification.

Pulmonary tumor diagnosis with ultrasound is clinically valuable yet technically challenging. Althou...

Deep learning-based super-resolution ultrashort echo time MRI for pulmonary nodule detection and longitudinal assessment in emphysema.

PURPOSE: This study aimed to evaluate the performance of deep learning-based super-resolution ultras...

Machine learning-driven development of a novel unfolded protein response-related gene signature for predicting lung adenocarcinoma patient prognosis.

Lung adenocarcinoma (LUAD) is the most common lung cancer histological subtype. Although the unfolde...

Identifying predictor factors for asthma using machine learning: evidence from the English Longitudinal Study of Ageing.

BACKGROUND: Asthma is a common chronic inflammatory airway disease. Accumulating evidence highlights...

Explainable Machine Learning-Based Prediction of Postoperative Hypoxemia in Elderly Patients Undergoing General Anesthesia.

In order to predict the risk of postoperative hypoxemia in elderly patients undergoing general anest...

Network toxicology and multi-omics identify potential interactions between between air pollutants and interferon-related signaling in tuberculosis.

BACKGROUND: Air pollution increases tuberculosis (TB) susceptibility, yet the underlying molecular m...

Linguistic Fidelity and Classification Performance of Large Language Models for Generating Synthetic Operative Notes: Evaluation Study.

BACKGROUND: Machine learning models for surgical applications require large, diverse datasets; howev...

Exploring potential key genes and mitotic catastrophe-associated correlates in sepsis-induced acute respiratory distress syndrome using transcriptomics and experimental validation.

BACKGROUND: Sepsis-induced acute respiratory distress syndrome (ARDS) is a life-threatening form of ...

Screening for tuberculosis in prisons: efficacy of a breath-based diagnostic approach in a high prevalence setting.

BACKGROUND: Tuberculosis (TB) remains a major health threat in prisons, where overcrowding and limit...

Multimodule Human-Artificial Intelligence Collaboration Pipeline for Large Language Model-Assisted Thematic Analysis Across Digital Health Interview Studies: Comparative Evaluation Study.

BACKGROUND: Qualitative thematic analysis is widely used in health research to examine patient exper...

Body composition's effect on the bone-vascular axis of osteoporosis discovered in AI-based CT analysis of COPD patients.

OBJECTIVES: This study aimed to investigate the effect of body composition on the inverse relationsh...

Machine Learning Prediction of Pediatric In-Hospital Survival Before Extracorporeal Membrane Oxygenation Cannulation.

Identifying suitable candidates for extracorporeal membrane oxygenation (ECMO) is still challenging....

Artificial intelligence and asthma: Pros, cons, and potential impact on community outcomes.

Artificial neural network modelling using complete blood count for the early detection of black lung disease among Indonesian coal miner: A retrospective longitudinal study.

BACKGROUND: Black lung disease remains a major occupational health problem among coal miners and is ...

Machine learning-based MPO and Lp-PLA2 profiling reveals asthma-predominant inflammatory signature in asthma-COPD overlap.

BACKGROUND: Asthma-COPD overlap (ACO) remains poorly characterized at the molecular level, leading t...

Developing and validating an interpretable machine learning model for predicting postoperative nausea and vomiting in pulmonary resection patients: a retrospective observational study.

BACKGROUND: Postoperative nausea and vomiting (PONV) remains a prevalent complication hindering Enha...