Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND: Significant liver fibrosis is often clinically silent but predicts adverse outcomes. We ...
BACKGROUND: Equitable access to prescribed therapies remains challenging for older adults with chron...
OBJECTIVE: To identify risk patterns among high-risk newborns associated with hearing screening fail...
BACKGROUND: The Frailty in Tuberculosis (FIT) study aims to assess frailty in older adults with tube...
Purpose To compare the performance of an artificial intelligence (AI) system with that of radiologis...
Purpose To investigate whether deep learning models trained on chest radiographs (CXRs) rely on radi...
IMPORTANCE: Clinical trials in cardiovascular medicine aim to deliver high-quality evidence with gre...
Histological assessment is foundational to multi-omics studies of liver disease, yet conventional fi...
Releases from nuclear or radiological security events can result in significant internal radiation c...
Fire detection is vital in subway tunnels where confined geometries and ventilation complicate safet...
Deep learning (DL) techniques have been applied in lung cancer screening, assessing drug effectivene...
Cough is a common and physiologically informative component of respiratory morbidity, but its potent...
Lung cancer burden varies across countries undergoing different stages of urbanization, but the inte...
BACKGROUND: Lung cancer remains one of the leading causes of cancer-related mortality worldwide. Cur...
BACKGROUND: Monitoring respiration parameters such as respiratory rate could be beneficial to unders...
Real-time monitoring of infection-associated volatile organic compounds (VOCs) offers a non-invasive...
Growing concerns regarding per- and polyfluoroalkyl substances (PFAS) as pervasive environmental con...
Rhamnolipid manufacturing is transitioning from empirical cultivation to programmable, multi-scale m...
Dyspnea is a complex symptom measured using subjective patient-reported ratings. Continuous, automat...
Metabolic reprogramming is a core hallmark of cancer, yet how it contributes to the clinical heterog...
Accurate placement of the endotracheal tube (ETT) is critical for ensuring optimal care for patients...