Pulmonology

Preoperative soluble cluster of differentiation 40 ligand level is associated with outcome of pulmonary endarterectomy.

OBJECTIVE: Soluble CD40 ligand (sCD40L) is associated with some pathobiological states. However, whe...

Deep Learning Algorithms-Based CT Images in Glucocorticoid Therapy in Asthma Children with Small Airway Obstruction.

CT image information data under deep learning algorithms was adopted to evaluate small airway functi...

Automated Diagnosis of Chest X-Ray for Early Detection of COVID-19 Disease.

In March 2020, the World Health Organization announced the COVID-19 pandemic, its dangers, and its r...

Utility of a Deep Learning Algorithm for Detection of Reticular Opacity on Chest Radiography in Patients With Interstitial Lung Disease.

Deep learning has been heavily explored for pulmonary nodule detection on chest radiographs. Detect...

Deep Learning-Based Computed Tomography Imaging to Diagnose the Lung Nodule and Treatment Effect of Radiofrequency Ablation.

This study aimed to detect and diagnose the lung nodules as early as possible to effectively treat t...

Deep learning for lung disease segmentation on CT: Which reconstruction kernel should be used?

PURPOSE: The purpose of this study was to determine whether a single reconstruction kernel or both h...

Development of a tracking error prediction system for the CyberKnife Synchrony Respiratory Tracking System with use of support vector regression.

PURPOSE: The accuracy of the CyberKnife Synchrony Respiratory Tracking System is dependent on the br...

Risk assessment of latent tuberculosis infection through a multiplexed cytokine biosensor assay and machine learning feature selection.

Accurate detection and risk stratification of latent tuberculosis infection (LTBI) remains a major c...

Limited generalizability of deep learning algorithm for pediatric pneumonia classification on external data.

PURPOSE: (1) Develop a deep learning system (DLS) to identify pneumonia in pediatric chest radiograp...

Artificial intelligence on COVID-19 pneumonia detection using chest xray images.

Recent studies show the potential of artificial intelligence (AI) as a screening tool to detect COVI...

Walking-induced exposure of biological particles simulated by a children robot with different shoes on public floors.

Inhalation exposure to the resuspended biological particles from public places can cause adverse eff...

Rapid Quality Assessment of Nonrigid Image Registration Based on Supervised Learning.

When preprocedural images are overlaid on intraprocedural images, interventional procedures benefit ...

Weakly supervised learning for classification of lung cytological images using attention-based multiple instance learning.

In cytological examination, suspicious cells are evaluated regarding malignancy and cancer type. To ...

Adaptive Diagnosis of Lung Cancer by Deep Learning Classification Using Wilcoxon Gain and Generator.

Cancer is a complicated worldwide health issue with an increasing death rate in recent years. With t...

A Method for Short-Term Prediction of the Metro Station's Individual Energy Consumption Item Based on G-ACO-BP Model.

This paper proposes a new method to make short-term predictions for the three kinds of primary energ...

Detection of Pneumothorax with Deep Learning Models: Learning From Radiologist Labels vs Natural Language Processing Model Generated Labels.

RATIONALE AND OBJECTIVES: To compare the performance of pneumothorax deep learning detection models ...

Artificial Intelligence for Interstitial Lung Disease: Proudly Supporting Radiologists Since 2021.

Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT.

Background Evaluation of interstitial lung disease (ILD) at CT is a challenging task that requires e...

Characterizing shared and distinct symptom clusters in common chronic conditions through natural language processing of nursing notes.

Data-driven characterization of symptom clusters in chronic conditions is essential for shared clust...

A large margin piecewise linear classifier with fusion of deep features in the diagnosis of COVID-19.

The world has experienced epidemics of coronavirus infections several times over the last two decade...

Robotic thymectomy: A surgical point of view.

Robotic thymectomy is the most innovative surgical approach for treating disease of the anterior med...