Latest AI and machine learning research in pulmonology for healthcare professionals.
At present, the diagnosis of lower respiratory tract infections (LRTIs) is difficult, and there is a...
This retrospective study used 10 machine learning algorithms to predict the risk of healthcare-assoc...
Background : Severe respiratory syncytial virus (RSV) pneumonia is a leading cause of hospitalizatio...
. Approximately 57% of non-small cell lung cancer (NSCLC) patients face a 20% risk of brain metastas...
PURPOSE: This study aimed to evaluate whether an artificial intelligence (AI) system can identify ba...
Health professional education stands to gain substantially from collective efforts toward building v...
High-resolution computed tomography (HRCT) is important for diagnosing interstitial lung disease (IL...
Plant factories with artificial lighting (PFALs) can boost food production per unit area but require...
BACKGROUND: The post-surgical prognosis for Pulmonary Large Cell Neuroendocrine Carcinoma (PLCNEC) p...
Chronic obstructive pulmonary disease (COPD) is a prevalent respiratory disease and ranks third in g...
BACKGROUND: Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are associated wit...
At present, as the problem of water shortage and pollution is growing serious, it is particularly im...
Inflammatory syndromes, including those caused by infection, are a major cause of hospital admission...
Progressive gait impairment is common among aging adults. Remote phenotyping of gait during daily li...
In intensive care unit (ICU) patients undergoing mechanical ventilation (MV), the occurrence of diff...
BACKGROUND: Rifampicin resistant tuberculosis remains a global health problem with almost half a mil...
BackgroundTo develop and validate a mortality prediction model for patients with sepsis-associated A...
Reliably detecting potentially misleading patterns in automated diagnostic assistance systems, such ...
Pneumonia caused by novel coronavirus is an acute respiratory infectious disease. Its rapid spread i...
Respiratory motion, cardiac motion and inherently low signal-to-noise ratio (SNR) are major limitati...
Advancements in computational technology have led to a shift towards automated detection processes i...