Latest AI and machine learning research in pulmonology for healthcare professionals.
The new coronavirus, COVID-19, has affected people all over the world. Coronaviruses are a large gro...
BACKGROUND: Respiratory virus infections are significant causes of morbidity and mortality, and may ...
Facilitating the identification of extreme inactivity (EI) has the potential to improve morbidity an...
Timely detection and elimination of surface condensation is crucial for diverse applications in agri...
Cancer-associated fibroblasts (CAFs) participate in critical processes in the tumor microenvironment...
Monitoring variables such as dissolved oxygen, pH, and pond temperature is a key aspect of high-qual...
More humans have died of tuberculosis (TB) than any other infectious disease and millions still die ...
Lung cancer is one of the most malignant tumors. If it can be detected early and treated actively, i...
Both histologic subtypes and tumor mutation burden (TMB) represent important biomarkers in lung canc...
AIM: To evaluate a deep-learning-based computer-aided detection (DL-CAD) software system for pulmona...
BACKGROUND: The COVID-19 pandemic has exposed the vulnerability of healthcare services worldwide, es...
BACKGROUND: Control of tuberculosis (TB) depends on a balance between host's immune factors and bact...
We aimed to develop an artificial neural network (ANN) model to estimate the maximal oxygen uptake (...
PURPOSE: Designer benzodiazepines (DBZDs) increasingly emerged on the novel psychoactive substance (...
Lung cancer is the uncontrolled growth of cells in the lung that are made up of two spongy organs lo...
PURPOSE: Fast helical free-breathing CT (FHFBCT) scans are widely used for 5DCT and 5D Cone Beam ima...
The diagnosis of nonalcoholic fatty liver disease and associated fibrosis is challenging given the l...
BACKGROUND: The landscape of guided bronchoscopy for the sampling of pulmonary parenchymal lesions i...
BACKGROUND AND OBJECTIVE: It is important to alleviate annotation efforts and costs by efficiently t...
To speed up the discovery of COVID-19 disease mechanisms by X-ray images, this research developed a ...
The Covid-19 European outbreak in February 2020 has challenged the world's health systems, eliciting...