Latest AI and machine learning research in pulmonology for healthcare professionals.
INTRODUCTION: AI software in the form of deep learning-based automatic detection (DLAD) algorithms f...
Nitrate, a highly reactive form of inorganic nitrogen, is commonly found in aquatic environments. Un...
PURPOSE: The largest cause of cancer-related fatalities worldwide is lung cancer. The dimensions and...
As breath nitric oxide (NO) is a biomarker of respiratory inflammation, reliable techniques for the ...
. Humanity faces many health challenges, among which respiratory diseases are one of the leading cau...
INTRODUCTION: Idiopathic pulmonary fibrosis (IPF) is a rare but debilitating lung disease characteri...
RATIONALE: Treatment monitoring of tuberculosis patients is complicated by a slow growth rate of . R...
ObjectiveThe goal of this study is to assess the effectiveness of a hybrid deep learning model that ...
Multiple respiratory viruses can concurrently or sequentially infect the respiratory tract, making t...
BACKGROUND: Drivers of COVID-19 severity are multifactorial and include multidimensional and potenti...
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a serious threat to human life. Hence, ear...
BACKGROUND AND OBJECTIVE: Microbiological culture is a standard diagnostic test that takes a long ti...
An efficient novel approach is introduced to predict the effectiveness of chemotherapy treatment in ...
The rapid development of artificial intelligence (AI) based tools in pathology laboratories has brou...
BACKGROUND/OBJECTIVES: Correct pulmonary nodule volumetry and categorization is paramount for accura...
BACKGROUND: Coal workers' pneumoconiosis is a chronic occupational lung disease with considerable pu...
BACKGROUND: Uncertainty in the diagnosis of lung nodules is a challenge for both patients and physic...
During winter months, there is increased pressure on health care systems in temperature climates due...
BACKGROUND: With increased use of thoracic paravertebral block (TPVB) in thoracic surgery, many face...
Thoracic Cone-beam computed tomography (CBCT) is routinely collected during image-guided radiation t...
PURPOSE: This study evaluates the feasibility of using robotic-assisted bronchoscopy with cone beam ...