Pulmonology

Perioperative outcomes of robot-assisted vs video-assisted and traditional open thoracic surgery for lung cancer: A systematic review and network meta-analysis.

BACKGROUND: The superiority of robot-assisted thoracic surgery (RATS) over video-assisted thoracic s...

Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage.

BACKGROUND AND OBJECTIVE: To investigate the effect of the slab thickness in maximum intensity proje...

Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays.

BACKGROUND AND OBJECTIVE: Coronavirus disease (COVID-19) is an infectious disease caused by a new vi...

Local rotation invariance in 3D CNNs.

Locally Rotation Invariant (LRI) image analysis was shown to be fundamental in many applications and...

A Novel Method to Identify Pneumonia through Analyzing Chest Radiographs Employing a Multichannel Convolutional Neural Network.

Pneumonia is a virulent disease that causes the death of millions of people around the world. Every ...

A Knowledge-Based Machine Learning Approach to Gene Prioritisation in Amyotrophic Lateral Sclerosis.

Amyotrophic lateral sclerosis is a neurodegenerative disease of the upper and lower motor neurons re...

Reduction of respiratory motion artifacts in gadoxetate-enhanced MR with a deep learning-based filter using convolutional neural network.

OBJECTIVES: To reveal the utility of motion artifact reduction with convolutional neural network (MA...

Automated Lung Ultrasound B-Line Assessment Using a Deep Learning Algorithm.

Shortness of breath is a major reason that patients present to the emergency department (ED) and poi...

A preliminary study to quantitatively evaluate the development of maturation degree for fetal lung based on transfer learning deep model from ultrasound images.

PURPOSE: The evaluation of fetal lung maturity is critical for clinical practice since the lung imma...

User-Centered Design of a Mobile Health Intervention to Enhance Exacerbation-Related Self-Management in Patients With Chronic Obstructive Pulmonary Disease (Copilot): Mixed Methods Study.

BACKGROUND: Adequate self-management skills are of great importance for patients with chronic obstru...

Deep learning in interstitial lung disease-how long until daily practice.

Interstitial lung diseases are a diverse group of disorders that involve inflammation and fibrosis o...

Preprocedure Application of Machine Learning and Mechanistic Simulations Predicts Likelihood of Paroxysmal Atrial Fibrillation Recurrence Following Pulmonary Vein Isolation.

BACKGROUND: Pulmonary vein isolation (PVI) is an effective treatment strategy for patients with atri...

Weakly-supervised learning for lung carcinoma classification using deep learning.

Lung cancer is one of the major causes of cancer-related deaths in many countries around the world, ...

Efficient GAN-based Chest Radiographs (CXR) augmentation to diagnose coronavirus disease pneumonia.

: As 2019 ends coronavirus disease start expanding all over the world. It is highly transmissible di...

Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South Korea.

The biochemical oxygen demand (BOD), one of widely utilized variables for water quality assessment, ...

Identification of feature risk pathways of smoking-induced lung cancer based on SVM.

OBJECTIVE: The present study aims to explore the role of smoking factors in the risk of lung cancer ...

COVID-19: The role of artificial intelligence in empowering the healthcare sector and enhancing social distancing measures during a pandemic.

Indiscriminatory in its spread, COVID-19 has engulfed communities from all social backgrounds throug...

Development and Validation of a Deep Learning Model for Non-Small Cell Lung Cancer Survival.

IMPORTANCE: There is a lack of studies exploring the performance of a deep learning survival neural ...

Prognosis and Treatment of Non-Small Cell Lung Cancer in the Age of Deep Learning.

Deep learning for predicting the occurrence of cardiopulmonary diseases in Nanjing, China.

The efficiency of disease prevention and medical care service necessitated the prediction of inciden...

Differentiation of Benign from Malignant Pulmonary Nodules by Using a Convolutional Neural Network to Determine Volume Change at Chest CT.

Background Deep learning may help to improve computer-aided detection of volume (CADv) measurement o...