Latest AI and machine learning research in copd for healthcare professionals.
Background: Structured information extraction from unstructured histopathology reports facilitates...
As CT imaging is increasingly used for the evaluation of lung nodules and the diagnosis and screenin...
Chronic kidney disease (CKD) is a major global health issue, affecting over 10% of the population ...
Despite graph neural networks' (GNNs) great success in modelling graph-structured data, out-of-dis...
Paired inspiratory-expiratory CT scans enable the quantification of gas trapping due to small airw...
Visual object counting has recently shifted towards class-agnostic counting (CAC), which addresses...
Traditional remote spirometry lacks the precision required for effective pulmonary monitoring. We ...
This study introduces RelCAT (Relation Concept Annotation Toolkit), an interactive tool, library, ...
The generation of synthetic CT (sCT) images from cone-beam CT (CBCT) data using deep learning meth...
Ensuring safety alignment has become a critical requirement for large language models (LLMs), part...
The ratio of airway tree lumen to lung size (ALR), assessed at full inspiration on high resolution...
Accurate quantification of the extent of lung pathological patterns (fibrosis, ground-glass opacit...
Manual curation of biomedical literature is slow and error-prone and while large language models (LL...
Histologically stained tissue sections are considered the gold standard for studying microscopic ana...
Myocardial infarct size (IS) is the gold standard end-point in shorth-term studies on cardioprotecti...
Neural interfaces are essential tools for diagnosing and managing neurological disorders, yet conven...
Individuals homozygous for the Alpha-1 Antitrypsin (AAT) Z allele (Pi*ZZ) exhibit heterogeneity in C...
Low muscle oxidative capacity is an extrapulmonary manifestation of chronic obstructive pulmonary di...
Though European Respiratory Society and American Thoracic Society (ERS/ATS) guidelines for pulmonary...
Sleep is a fundamental biological process with profound implications for physical and mental health,...
This study presents a novel two stage deep learning algorithm for automated detection of mucus plugs...