Latest AI and machine learning research in pulmonology for healthcare professionals.
PURPOSE: Patients with pneumonia often present to the emergency department (ED) and require prompt d...
Throughout the coronavirus disease 2019 (COVID-19) pandemic, countries have relied on a variety of a...
There is a need for timely, accurate diagnosis, and personalised management in lung diseases. Exhale...
Despite the growing constellation of genetic loci linked to common traits, these loci have yet to ac...
Cefepime induced neurotoxicity (CIN) is commonly associated with renal dysfunction, however CIN can...
Influenza is an acute viral respiratory disease that is currently causing severe financial and resou...
Federated learning (FL) is a method used for training artificial intelligence models with data from ...
Coughing is a common symptom for many respiratory disorders, and can spread droplets of various size...
BACKGROUND: The da Vinci Si version robot lacks a vascular stapler that can be controlled by the ope...
PURPOSE: The identification of pathological mediastinal lymph nodes is an important step in the stag...
Intraoperative detection of the marginal tissues is the last and most important step to complete the...
OBJECTIVES: For optimal utilization of healthcare resources, there is a critical need for early iden...
Maximum intensity projection (MIP) technology is a computer visualization method that projects three...
PURPOSE: The deformable registration of 3D chest computed tomography (CT) images is one of the most ...
Predicting postoperative survival of lung cancer patients (LCPs) is an important problem of medical ...
BACKGROUND: Minimally invasive Ivor Lewis esophagectomy (MIILE) provides better outcomes than open t...
BACKGROUND AND OBJECTIVE: Given that the novel coronavirus disease 2019 (COVID-19) has become a pand...
Light-scattering spectroscopy (LSS) is an established optical approach for characterization of biolo...
Serological diagnosis of active tuberculosis (TB) is enhanced by detection of multiple antibodies du...
Although deep learning networks applied to digital images have shown impressive results for many pat...
Approximately 7% of pregnant women in the United States use electronic-cigarette (e-cig) devices dur...