Pulmonology

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

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A novel deep learning-based quantification of serial chest computed tomography in Coronavirus Disease 2019 (COVID-19).

This study aims to explore and compare a novel deep learning-based quantification with the conventio...

Novel Machine Learning Can Predict Acute Asthma Exacerbation.

BACKGROUND: Asthma exacerbations result in significant health and economic burden, but are difficult...

Effect of CT reconstruction settings on the performance of a deep learning based lung nodule CAD system.

PURPOSE: To study the effect of different reconstruction parameter settings on the performance of a ...

Breath biopsy of breast cancer using sensor array signals and machine learning analysis.

Breast cancer causes metabolic alteration, and volatile metabolites in the breath of patients may be...

Automatic Lung Segmentation on Chest X-rays Using Self-Attention Deep Neural Network.

Accurate identification of the boundaries of organs or abnormal objects (e.g., tumors) in medical im...

3D multi-scale deep convolutional neural networks for pulmonary nodule detection.

With the rapid development of big data and artificial intelligence technology, computer-aided pulmon...

Lung cancer histology classification from CT images based on radiomics and deep learning models.

Adenocarcinoma (AC) and squamous cell carcinoma (SCC) are frequent reported cases of non-small cell ...

Positive Surgical Margins After Robot-Assisted Partial Nephrectomy Predict Long-Term Oncologic Outcomes for Clinically Localized Renal Masses.

For patients with clinically localized renal masses, positive surgical margins (PSMs) after robotic...

Evaluating the sustainability of big data centers using the analytic network process and fuzzy TOPSIS.

The big data revolution has created data center sustainability problems, whose solutions require the...

Prediction of Obstructive Lung Disease from Chest Radiographs via Deep Learning Trained on Pulmonary Function Data.

BACKGROUND: Chronic obstructive pulmonary disease (COPD), the third leading cause of death worldwide...

A new resource on artificial intelligence powered computer automated detection software products for tuberculosis programmes and implementers.

Recently, the number of artificial intelligence powered computer-aided detection (CAD) products that...

ResBCDU-Net: A Deep Learning Framework for Lung CT Image Segmentation.

Lung CT image segmentation is a key process in many applications such as lung cancer detection. It i...

Utilization of circulating cell-free DNA profiling to guide first-line chemotherapy in advanced lung squamous cell carcinoma.

Platinum-based chemotherapy is one of treatment mainstay for patients with advanced lung squamous c...

Caffeine mouth rinse enhances performance, fatigue tolerance and reduces muscle activity during moderate-intensity cycling.

We investigated the effects of caffeine mouth rinse on endurance performance, muscle recruitment (i....

Validation of the Khorana Score for Prediction of Venous Thromboembolism After Robot-Assisted Radical Cystectomy.

The Khorana score (KS) is used to predict the risk of venous thromboembolism (VTE) for cancer patie...

Lung cancer survival period prediction and understanding: Deep learning approaches.

INTRODUCTION: Survival period prediction through early diagnosis of cancer has many benefits. It all...

Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning.

Non-rigid motion-corrected reconstruction has been proposed to account for the complex motion of the...

A CT-Based Automated Algorithm for Airway Segmentation Using Freeze-and-Grow Propagation and Deep Learning.

Chronic obstructive pulmonary disease (COPD) is a common lung disease, and quantitative CT-based bro...

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