Latest AI and machine learning research in pulmonology for healthcare professionals.
N-Acetylcysteine (NAC), a thiol-containing mucolytic agent for COPD, exhibits significant pharmacokinetic variability among patients, motivating the need for convenient therapeutic monitoring. Herein, a colorimetric platform based on copper-doped chiral carbon dots (Cu-D-CDs) was synthesized via a one-pot hydrothermal route using D-histidine and CuCl2 as precursors. The Cu-D-CDs displayed enhanced...
BACKGROUND: Viral communities of the upper aerodigestive tract represent an important component of the human microbial ecosystem but remain poorly characterized due to the limited availability of habitat-specific reference resources. METHODS: We integrated 19,997 public and 2,673 newly sequenced oral and airway metagenomes to establish the Oral and Airway Viral Genome Catalogue (OAVGC). Viral geno...
Accurate dose verification remains a major challenge in particle therapy. Dose monitoring methods such as positron emission tomography (PET) and promp...
Lung cancer continues to be a major cause of death globally, making early and precise detection crucial for improving patient outcomes. In this resear...
Dry powder inhalers (DPIs) are essential for pulmonary drug delivery, yet how adhesive formulation powders are converted into well-dispersed aerosols ...
Accurate short-term ozone (O3) forecasting is critical for mitigating respiratory and ecological impacts, protecting public health, and guiding urban ...
Excessive reliance on validation performance during model selection can lead to validation overfitting (VO), where models appear effective during deve...
People with PF and their families share disease experiences and information on social media, providing a novel source for insights in their perspectiv...
Background Chest CT is a primary method for identifying pulmonary nodules, yet interpreting scans remains time-intensive and demanding. Currently, art...
BACKGROUND: MASLD is the most prevalent chronic liver disease worldwide, with pooled global prevalence estimates of approximately 30%. Current noninva...
Graphical abstracts are increasingly used to enhance scientific communication, yet their quality remains variable. Generative artificial intelligence ...
Heart failure (HF) remains a major cause of morbidity, mortality, impaired quality of life and healthcare expenditure worldwide. The global burden of ...
PURPOSE: Recent studies indicate that lung function can change significantly during radiation therapy (RT) course. However, additional function imagin...
BACKGROUND: Knowledge-based planning (KBP) has improved the quality and efficiency of radiotherapy treatment planning. However, its broader clinical a...
PURPOSE: Liver fibrosis and cirrhosis represent critical stages in the progression of chronic liver disease, yet their key molecular features remain i...
BACKGROUND: Artificial intelligence (AI) is increasingly used in veterinary diagnostic imaging, particularly in thoracic radiology, to support image i...
BACKGROUND: Lung cancer is a leading cause of cancer-related mortality, and its prognosis is often affected by comorbidities such as type 2 diabetes m...
BACKGROUND: Pulmonary ventilation imaging has become an increasingly important component in thoracic radiotherapy, as it is applied to functional avoi...