Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND: Tuberculosis (TB) remains a significant global health problem, particularly in low- and ...
INTRODUCTION: The 1,2,3-triazole scaffold is a privileged heterocyclic motif in medicinal chemistry ...
Ruthenium dioxide (RuO2) is widely considered as a leading non-iridium candidate for the acidic oxyg...
PURPOSE: Anti-tuberculosis drug-induced liver injury (AT-DILI) is a common and clinically significan...
RATIONALE: Interstitial lung abnormalities (ILA) are common, but not all progress, highlighting the ...
Traditional quantitative N95 respirator fit testing methods are resource-intensive and may not optim...
BACKGROUND: To effectively respond to acute respiratory infections such as influenza, timely informa...
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is the most common histological subtype of malig...
BACKGROUND: Listening to audible sound for medical diagnosis and monitoring spans health care profes...
Tracheal intubation in the intensive care unit is a high-risk procedure, with hypoxemia, cardiovascu...
Background Pulmonary embolism (PE) is frequently suspected in emergency departments (EDs). Safely ru...
INTRODUCTION: Lung cancer remains the leading cause of cancer-related mortality in the United States...
OBJECTIVE: To determine whether artificial intelligence (AI) clinical trial activity aligns with glo...
INTRODUCTION: Emergency telephone triage must rapidly recognise cardiac arrest, severe respiratory d...
BACKGROUND AND OBJECTIVES: Endovascular thrombectomy (EVT) is standard of care for large vessel occl...
BACKGROUND: Early identification of extremely preterm infants at risk of moderate-to-severe bronchop...
BACKGROUND: Primary ciliary dyskinesia (PCD) is a rare, multigenic disorder of impaired mucociliary ...
PURPOSE: This study evaluated occupational thermal exposure and perceived thermal load among agricul...
Postoperative desaturation, a significant concern following laparoscopic and robot-assisted procedur...
Flexible sensing technologies based on triboelectric nanogenerators (TENG) have shown promise for we...
The escalating global challenge of electronic waste demands energy-harvesting materials that deliver...