Latest AI and machine learning research in pulmonology for healthcare professionals.
Clinical worsening events are increasingly recognized as a meaningful outcome in pulmonary arterial ...
Acute Respiratory Distress Syndrome (ARDS) is a life-threatening condition in which early diagnosis ...
Discovering new materials for electrocatalytic energy conversion reactions is a key step toward ener...
BACKGROUND: The function and myocardial characteristics of the right ventricle (RV) are linked to RV...
INTRODUCTION: Point-of-care transthoracic echocardiography performed by anaesthetists can influence ...
BACKGROUND: Artificial intelligence has significantly advanced computational pathology by enabling h...
Reliable risk assessment for implant-supported restorations in the esthetic zone is critical yet cha...
Besides improving drug solubility and stability, co-amorphous systems (COAMS) have recently been rep...
BACKGROUND: Accurate prediction of therapeutic pressure for Continuous Positive Airway Pressure (CPA...
Lung transplantation remains the only definitive treatment for end-stage respiratory failure; howeve...
The public health impact of vaping in the United States reflects a complex balance of potential bene...
BACKGROUND: Accurate navigation within the lungs is critical for bronchoscopy procedures but remains...
Neutrophil extracellular traps (NETs) are increasingly recognized as critical mediators in vascular ...
OBJECTIVE: This study aims to evaluate the cost-effectiveness of latent tuberculosis infection (LTBI...
INTRODUCTION: Lung cancer (LC) is the leading cause of cancer-related mortality worldwide, primarily...
BACKGROUND: Differentiating between spinal tuberculosis, pyogenic (bacterial) spondylitis and spinal...
Managing patients with respiratory failure increasingly involves non-invasive respiratory support (N...
OBJECTIVES: The Xpert MTB/RIF Ultra (Ultra) assay is widely used to diagnose pulmonary tuberculosis ...
Current diagnostics for ischemic stroke (IS) lack timeliness and accessibility, highlighting the nee...
OBJECTIVES: We evaluated bidirectional long short-term memory models for predicting inpatient mortal...
BACKGROUND: Respiratory epidemics often place substantial pressure on intensive care units (ICU), wh...