Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND: Apnoea of prematurity is common and may cause desaturation and/or bradycardia. There is ...
Drug‑tolerant persister cells represent a major barrier to durable responses in cases of epidermal g...
STUDY OBJECTIVES: Current multimodal approaches for automated sleep apnea detection usually assume c...
OBJECTIVE: To develop and validate a machine learning radiomics model integrating automated three-di...
Automated auscultation models are commonly evaluated using aggregate metrics, although mixed heart-l...
BACKGROUND: Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy, but can cause se...
Artificial intelligence (AI) is rapidly transforming respiratory medicine by enabling the integratio...
WHO reports that only 54% of tuberculosis (TB) patients received rapid diagnostic tests at their ini...
An initial library of thirty (minimal ruthenium) high-to-medium entropy La(RuwNixMnyFez)O3 oxygen ev...
Statistical analysis of clinical data requires expertise in medical statistics. Large language model...
AIMS: The right ventricle (RV) is a major determinant of outcome in pulmonary arterial hypertension ...
BACKGROUND: Tuberculosis (TB) is a leading cause of morbidity and mortality among children living wi...
PURPOSE: To investigate the association between AI-derived probability of interstitial lung abnormal...
BACKGROUND: Respiratory motion and inter-fraction anatomical variations reduce the accuracy of dose ...
Machine learning (ML) and deep learning (DL) are increasingly applied across the clinical spectrum o...
Fibrosis is a progressive, pan-organ pathology characterized by excessive deposition of extracellula...
Lung ultrasonography (LUS) is a valuable tool for diagnosing pneumonia in calves, allowing early det...
Hypertrophic cardiomyopathy (HCM) is marked by asymmetric cardiac wall thickening, hypercontractilit...
Climate change is increasing airborne pollen concentrations, exposing populations to unprecedented a...
4D cone-beam computed tomography (4DCBCT) is a technique used to address respiratory motion in radio...
PURPOSE: To advance the clinical application of an artificial intelligence-driven automatic planning...