Latest AI and machine learning research in pulmonology for healthcare professionals.
Artificial intelligence (AI) algorithms have shown strong performance for detection of pulmonary em...
PURPOSE: To compare the performances of machine learning (ML) and deep learning (DL) in improving th...
AIM: To investigate the performance of a generative adversarial network (GAN) model for staging live...
Recently, the novel coronavirus disease 2019 (COVID-19) has posed many challenges to the research co...
According to global and Chinese cancer statistics, lung cancer is the second most common cancer glob...
Thoracic radiograph (TR) is a complementary exam widely used in small animal medicine which requires...
Coronavirus (COVID-19) creates an extensive range of respiratory contagions, and it is a kind of rib...
BACKGROUND: High-grade adenocarcinoma subtypes (micropapillary and solid) treated with sublobar rese...
Background A preoperative CT-based deep learning (DL) prediction model was proposed to estimate dise...
COVID-19 is an infectious and contagious disease caused by the new coronavirus. The total number of ...
INTRODUCTION: Due to its many technical advantages, the scope of robot-assisted thoracic surgery (RA...
OBJECTIVES: While chest radiograph (CXR) is the first-line imaging investigation in patients with re...
The detection of sleep apnea is critical for assessing sleep quality. It is also a proven biometric ...
Lung cancer is the most common cause of cancer death worldwide. A timely diagnosis of the pulmonary ...
Artificial intelligence (AI) is a branch of computer science that includes research in robotics, lan...
There are various problems in diagnosing and treating tumor diseases in significant hospitals. The c...
BACKGROUND: Prognostic prediction of nontuberculous mycobacteria pulmonary disease using a deep lear...
PURPOSE: Although surgery is the primary treatment for lung cancer, some patients experience recurre...
OBJECTIVES: To compare the performance of radiologists in characterizing and diagnosing pulmonary no...
OBJECTIVES: To investigate whether deep learning reconstruction (DLR) could keep image quality and r...
Lung ultrasound has great application value in the differential diagnosis of pulmonary exudative les...