Pulmonology

Latest AI and machine learning research in pulmonology for healthcare professionals.

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Advancements and Applications of Hyperpolarized Xenon MRI for COPD Assessment in China.

Chronic obstructive pulmonary disease (COPD) is one of the leading causes of morbidity and mortality...

Label-free diagnosis of lung cancer by Fourier transform infrared microspectroscopy coupled with domain adversarial learning.

Lung cancer is one of the most prevalent malignancies, characterized by high morbidity and mortality...

Advancing respiratory disease diagnosis: A deep learning and vision transformer-based approach with a novel X-ray dataset.

With the increasing prevalence of respiratory diseases such as pneumonia and COVID-19, timely and ac...

Insight into microbial extracellular vesicles as key communication materials and their clinical implications for lung cancer (Review).

The complexity of lung cancer, driven by multifactorial causes such as genetic, environmental and li...

Assessment model of blast injury: A narrative review.

Craniocerebral and pulmonary injuries are primary blast-induced damages, assessed via numerical simu...

A skin-interfaced wireless wearable device and data analytics approach for sleep-stage and disorder detection.

Accurate identification of sleep stages and disorders is crucial for maintaining health, preventing ...

The future of healthcare-associated infection surveillance: Automated surveillance and using the potential of artificial intelligence.

Healthcare-associated infections (HAIs) are common adverse events, and surveillance is considered a ...

The Current State of Artificial Intelligence on Detecting Pulmonary Embolism via Computerised Tomography Pulmonary Angiogram: A Systematic Review.

Pulmonary embolism (PE) is a life-threatening condition with significant diagnostic challenges due ...

Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability.

The prevalence and spread of carbapenem-resistant Pseudomonas aeruginosa (CRPA) is a global public h...

Tracheal Targeted Nanogrid Delivery Systems of Dexamethasone Visualized by Single-Particle Tracing and Multiscale Pathological Mapping.

Current clinical treatment of pulmonary diseases requires an advanced three-dimensional (3D) patholo...

DFT-Machine Learning Joint Exploration of Transition Metal-Doped Ferroelectric BaTiO for Electrocatalytic Hydrogen Evolution.

Doping regulation holds promise to modulate electrocatalytic performance, yet it remains largely une...

Machine learning-based prediction of respiratory depression during sedation for liposuction.

Procedural sedation is often performed by non-anesthesiologists in various settings and can lead to ...

Gradient-driven pixel connectivity convolutional neural networks classification based on U-Net lung nodule segmentation.

Lung cancer is a significant global health issue, heavily burdening healthcare systems. Early detect...

The tumor microenvironment of non-small cell lung cancer impairs immune cell function in people with HIV.

Lung cancer is the leading cause of cancer mortality among people with HIV (PWH), with increased inc...

A high-throughput analysis of novel anti-fibrotics in human adult cardiac fibroblasts.

Myocardial fibrosis, a hallmark of heart failure (HF), contributes to disease progression and mortal...

FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images.

Cancer is among the most dangerous diseases contributing to rising global mortality rates. Lung canc...

Optimizing Attenuation Correction in Ga-PSMA PET Imaging Using Deep Learning and Artifact-Free Dataset Refinement.

Attenuation correction (AC) is essential for achieving quantitatively accurate PET imaging. In Ga-P...

DeepCR: predicting cytokine receptor proteins through pretrained language models and deep learning networks.

Cytokine receptors play a pivotal role in mediating the immune response and are critical in cytokine...

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