Latest AI and machine learning research in pulmonology for healthcare professionals.
Pulmonary tumor diagnosis with ultrasound is clinically valuable yet technically challenging. Although deep learning has shown promise in supporting sonographers, progress is hindered by the lack of publicly available, high-quality annotated datasets. Given the limited clinical adoption of pulmonary ultrasound for differentiating benign and malignant tumors, publicly available datasets for AI rese...
In this study, a novel pH-responsive hybrid nanocarrier with a water-in-oil-in-water (W/O/W) emulsion structure was developed using gelatin (G) as a biocompatible polymer, montmorillonite (MMT) as a layered diffusion barrier, and cerium oxide nanoparticles (CeOâ‚‚) as a multifunctional stabilizing agent for pH-responsive and controlled delivery of quercetin (QC). The nanocarriers were synthesized vi...
PURPOSE: This study aimed to evaluate the performance of deep learning-based super-resolution ultrashort echo time magnetic resonance imaging (SR-UTE ...
Lung adenocarcinoma (LUAD) is the most common lung cancer histological subtype. Although the unfolded protein response (UPR) has been linked to variou...
BACKGROUND: Reproducibility and cross-species translation using the domestic pig (Sus scrofa) are limited by the lack of a standardised molecular fram...
BACKGROUND: Asthma is a common chronic inflammatory airway disease. Accumulating evidence highlights the roles of demographic, lifestyle, and comorbid...
In order to predict the risk of postoperative hypoxemia in elderly patients undergoing general anesthesia, this study developed, validated, and interp...
BACKGROUND: Air pollution increases tuberculosis (TB) susceptibility, yet the underlying molecular mechanisms remain elusive. METHODS: We integrated h...
BACKGROUND: Machine learning models for surgical applications require large, diverse datasets; however, data scarcity remains a critical limitation du...
BACKGROUND: Sepsis-induced acute respiratory distress syndrome (ARDS) is a life-threatening form of acute diffuse lung injury caused by sepsis. Howeve...
BACKGROUND: Tuberculosis (TB) remains a major health threat in prisons, where overcrowding and limited access to care facilitate transmission. We eval...
BACKGROUND: Qualitative thematic analysis is widely used in health research to examine patient experiences and inform the refinement of digital health...
OBJECTIVES: This study aimed to investigate the effect of body composition on the inverse relationship between vertebral bone density (T12 BMD) and to...
Identifying suitable candidates for extracorporeal membrane oxygenation (ECMO) is still challenging. Our aim is to leverage machine learning (ML) to p...
BACKGROUND: Black lung disease remains a major occupational health problem among coal miners and is frequently diagnosed at an advanced stage, limitin...
BACKGROUND: Asthma-COPD overlap (ACO) remains poorly characterized at the molecular level, leading to diagnostic uncertainty and suboptimal treatment....
BACKGROUND: Postoperative nausea and vomiting (PONV) remains a prevalent complication hindering Enhanced Recovery After Surgery (ERAS) protocols, part...
BACKGROUND: Pneumothorax is a finding that is frequently missed in the emergency department, particularly in cases with subtle radiographic features, ...
BACKGROUND: To evaluate the single-session agreement between treatment recommendations generated by ChatGPT and Gemini and real-world decisions made b...
Inhaled aerosol dosimetry is a critical discipline bridging exposure to biological effect in both therapeutic and toxicological contexts. This review ...