Pulmonology

Predictive modelling of air pollution affecting human tuberculosis risk on Mainland China.

In this study, we investigated the correlation between air pollution indicators and pulmonary tuberc...

Integrating bioinformatics and machine learning to investigate the mechanisms by which three major respiratory infectious diseases exacerbate heart failure.

Heart failure (HF) is a severe cardiovascular disease often worsened by respiratory infections like ...

Case study on force compliant robot arm controller for nasopharyngeal swab insertion.

The nasopharyngeal (NP) swab sample test, commonly used to detect COVID-19 and other respiratory ill...

User Trust in Artificial Intelligence-Guided Lung Ultrasound-Reply.

User Trust in Artificial Intelligence-Guided Lung Ultrasound.

Multimodal Generative Artificial Intelligence Model for Creating Radiology Reports for Chest Radiographs in Patients Undergoing Tuberculosis Screening.

Chest radiographs play a crucial role in tuberculosis screening in high-prevalence regions, althoug...

A deep learning-based computed tomography reading system for the diagnosis of lung cancer associated with cystic airspaces.

To propose a deep learning model and explore its performance in the auxiliary diagnosis of lung canc...

Unveiling diagnostic biomarkers and therapeutic targets in lung adenocarcinoma using bioinformatics and experimental validation.

Lung adenocarcinoma (LUAD) is a major challenge in oncology due to its complex molecular structure a...

Identification of exosome-related genes in NSCLC via integrated bioinformatics and machine learning analysis.

Exosomes are crucial in the development of non-small cell lung cancer (NSCLC), yet exosome-associate...

AI-driven genetic algorithm-optimized lung segmentation for precision in early lung cancer diagnosis.

Lung cancer remains the leading cause of cancer-related mortality worldwide, necessitating accurate ...

Machine learning model and hemoglobin to red cell distribution width ratio evaluates all-cause mortality in pulmonary embolism.

The ratio of hemoglobin (Hb) to red blood cell distribution width (RDW), known as HRR, functions as ...

Development and validation of a transformer model-based early warning score for real-time prediction of adverse outcomes in the emergency department.

This study aimed to develop and validate a transformer-based early warning score (TEWS) system for p...

Developing an innovative lung cancer detection model for accurate diagnosis in AI healthcare systems.

Accurate Lung cancer (LC) identification is a big medical problem in the AI-based healthcare systems...

Label-Free Evaluation of Lung and Heart Transplant Biopsies Using Tissue Autofluorescence-Based Virtual Staining.

We present a panel of virtual staining neural networks for lung and heart transplant biopsies, prov...

Quantitative Mapping of Oxygen Affinity to Local Chemical Environments in Ti-Zr-Nb-Ta Alloys via Machine Learning.

Simultaneously enhancing strength and ductility is a longstanding challenge in materials science. Re...

A real-world data analysis of montelukast in FDA Adverse Event Reporting System (FAERS) database.

BACKGROUND: Montelukast(MTK) is a leukotriene receptor antagonist widely used clinically for treatin...

Machine learning for detection of diffusion abnormalities-related respiratory changes among normal, overweight, and obese individuals based on BMI and pulmonary ventilation parameters: an observational study.

BACKGROUND: The integration of machine learning (ML) algorithms enables the detection of diffusion a...

Deep learning-based cough classification using application-recorded sounds: a transfer learning approach with VGGish.

BACKGROUND: Coughing sounds contain various bio-metric information with regards to respiratory disea...

Utilization of artificial intelligence-based pulmonary nodule target reconstruction software in clinical practice education for standardized training residents.

Deep learning radiomics and mediastinal adipose tissue-based nomogram for preoperative prediction of postoperative‌ brain metastasis risk in non-small cell lung cancer.

Automatic recognition and differentiation of pulmonary contusion and bacterial pneumonia based on deep learning and radiomics.

BACKGROUND: In clinical work, there are difficulties in distinguishing pulmonary contusion(PC) from ...