Latest AI and machine learning research in pulmonology for healthcare professionals.
Ion conduction in perovskites plays a crucial role in the performance of energy storage and conversi...
Flexible pressure sensors that simultaneously deliver high sensitivity and a broad detection range a...
BACKGROUND: SARS-CoV-2 remains a common cause of acute respiratory illness; however, symptom-based t...
PURPOSE: To evaluate the dosimetric benefit of deep inspiration breath-hold (DIBH) using the Active ...
BACKGROUND: Accurate staging of liver fibrosis is crucial for risk stratification in patients with m...
Point-of-care ultrasound (POCUS) has emerged as an essential bedside tool for the rapid assessment a...
The rapid spread of acute respiratory infections (ARIs) poses a major challenge to global public hea...
Sleep disordered breathing (SDB) is commonly assessed using polysomnography (PSG), which records mul...
Photoplethysmography (PPG) is a widely used non-invasive sensing technique for monitoring cardiovasc...
Lung cancer has been one of the largest causes of cancer related deaths globally with approximately ...
Artificial intelligence (AI) systems for chest X-ray (CXR) interpretation can achieve high standalon...
OBJECTIVE: To develop and validate a machine learning model for predicting ICU mortality in CHF pati...
BACKGROUND: Acute decompensated heart failure patients follow a broad range of clinical pathways dur...
OBJECTIVE: To evaluate the value of retinal optical coherence tomography angiography (OCTA) microcir...
Despite remarkable achievements in infectious disease control, more than 20 major pathogens responsi...
OBJECTIVES: Metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfuncti...
INTRODUCTION: Supine chest radiography is routinely used in trauma care; however, its sensitivity is...
OBJECTIVE: Pathological "invasion" influences patient prognosis in lung adenocarcinoma (LUAD); howev...
H2 activation mechanism governs the activity, selectivity, and stability of CO2 hydrogenation over I...
OBJECTIVES: This study aimed to develop and validate a CBCT-based automated system for assessing rad...
Common genetic variants contribute to risk for complex human diseases. However, despite thousands of...