Pulmonology

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

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Development and Validation of an Electronic Health Record-Based, Pediatric Acute Respiratory Distress Syndrome Subphenotype Classifier Model.

OBJECTIVE: To determine if hyperinflammatory and hypoinflammatory pediatric acute respiratory distre...

Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences.

Pulmonary artery-vein segmentation is critical for disease diagnosis and surgical planning. Traditio...

Automatic Segmentation of Bone Graft in Maxillary Sinus via Distance Constrained Network Guided by Prior Anatomical Knowledge.

Maxillary Sinus Lifting is a crucial surgical procedure for addressing insufficient alveolar bone ma...

OMS-CNN: Optimized Multi-Scale CNN for Lung Nodule Detection Based on Faster R-CNN.

The global increase in lung cancer cases, often marked by pulmonary nodules, underscores the critica...

Artificial intelligence-based deep learning algorithms for ground-glass opacity nodule detection: A review.

Ground-glass opacities (GGOs) are hazy opacities on chest computed tomography (CT) scans that can in...

Deep mutational learning for the selection of therapeutic antibodies resistant to the evolution of Omicron variants of SARS-CoV-2.

Most antibodies for treating COVID-19 rely on binding the receptor-binding domain (RBD) of SARS-CoV-...

Impact of [F]FDG PET/CT Radiomics and Artificial Intelligence in Clinical Decision Making in Lung Cancer: Its Current Role.

Lung cancer remains one of the most prevalent cancers globally and the leading cause of cancer-relat...

Comparing Artificial Intelligence and Traditional Regression Models in Lung Cancer Risk Prediction Using A Systematic Review and Meta-Analysis.

PURPOSE: Accurately identifying individuals who are at high risk of lung cancer is critical to optim...

Assessments of lung nodules by an artificial intelligence chatbot using longitudinal CT images.

Large language models have shown efficacy across multiple medical tasks. However, their value in the...

Logic-based machine learning predicts how escitalopram attenuates cardiomyocyte hypertrophy.

Cardiomyocyte hypertrophy is a key clinical predictor of heart failure. High-throughput and AI-drive...

Automated classification of chest X-rays: a deep learning approach with attention mechanisms.

BACKGROUND: Pulmonary diseases such as COVID-19 and pneumonia, are life-threatening conditions, that...

Edge Computing System for Automatic Detection of Chronic Respiratory Diseases Using Audio Analysis.

Chronic respiratory diseases affect people worldwide, but conventional diagnostic methods may not be...

Prediction of river dissolved oxygen (DO) based on multi-source data and various machine learning coupling models.

Too low a concentration of dissolved oxygen (DO) in a river can disrupt the ecological balance, whil...

Considerations regarding the selection, sampling, extraction, analysis, and modelling of biomarkers in exhaled breath for early lung cancer screening.

Lung cancer (LC) is the deadliest cancer due to the lack of efficient screening methods that detect ...

CT Differentiation and Prognostic Modeling in COVID-19 and Influenza A Pneumonia.

RATIONALE AND OBJECTIVES: This study aimed to compare CT features of COVID-19 and Influenza A pneumo...

Prediction of Lymph Node Metastasis in Lung Cancer Using Deep Learning of Endobronchial Ultrasound Images With Size on CT and PET-CT Findings.

BACKGROUND AND OBJECTIVE: Echo features of lymph nodes (LNs) influence target selection during endob...

Deep learning models for early and accurate diagnosis of ventilator-associated pneumonia in mechanically ventilated neonates.

BACKGROUND: Early and accurate confirmation of critically ill neonates with a suspected diagnosis of...

Utilization of non-invasive ventilation before prehospital emergency anesthesia in trauma - a cohort analysis with machine learning.

BACKGROUND: For preoxygenation, German guidelines consider non-invasive ventilation (NIV) as a possi...

Geometry-encoded molecular dynamics enables deep learning insights into P450 regiospecificity control.

Cytochrome P450 1A2, as many isoenzymes, can generate multiple metabolites from a single substrate. ...

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