Latest AI and machine learning research in copd for healthcare professionals.
BACKGROUND: Exposure to traffic-related air pollution has been associated with impaired lung function in children, yet heterogeneity in susceptibility related to nutritional status remains poorly understood. METHODS: We analyzed data from a Korean birth cohort with lung function measured at age 10 years. Dietary nutrient intakes were assessed at ages 6 and 8 years using food frequency questionnair...
Electronic waste is the fastest-growing waste stream in the world and contains valuable materials such as plastics and precious metals, such as gold. Gold found in electronic devices is used extensively in mobile phones, connectors, and circuit boards, and has a high recovery potential. Existing recovery processes are either performed with chemicals through manual or automated processes. However, ...
The assessment of left ventricular diastolic function started with invasive pressure measurements and is currently primarily based on echocardiographi...
PURPOSE: This prospective multicenter study aimed to compare the decision-making abilities of board-certified colposcopists and two commercially avail...
BACKGROUND: Artificial intelligence has gained relevance due to its potential to reduce the workload in evidence synthesis or bibliometric projects. W...
INTRODUCTION: The global prevalence of heart failure continues to increase, particularly in ageing populations. Many older patients receiving home-bas...
BACKGROUND: Title and abstract screening is a labor-intensive stage of systematic reviews. Large language models (LLMs) can automate this process, but...
OBJECTIVES: Computed tomography (CT) scans for lung cancer screening provide the opportunity of quantifying incidental findings. We evaluated the repe...
Significant gold deposits occur within the ophiolitic rocks of the Central Eastern Desert of Egypt; yet, the structural controls governing ore distrib...
Histologically stained tissue sections are considered the gold standard for studying microscopic anatomy and diagnosing disease in clinical practice. ...
BACKGROUND: COPD remains a leading cause of global morbidity and mortality, with acute exacerbations driving disease progression and healthcare utilis...
BACKGROUND: Chronic lung disease and heart failure (HF) commonly co-occur, share modifiable risk factors, and are preceded by a prolonged, heterogeneo...
Skin cancer is among the most prevalent malignancies worldwide, with non-melanoma types ranking among the top five and melanoma characterized by high ...
Artificial intelligence (AI) is reshaping dermatology through diagnostic image analysis, clinical documentation, and patient communication tools. Howe...
Air pollution remains a critical environmental health challenge in Thailand, yet evidence linking high-resolution exposure to short-term respiratory h...
BACKGROUND: Spirometry remains the gold standard for assessing pulmonary function. Deep learning models have demonstrated potential for estimating mea...
BACKGROUND: Elexacaftor-Tezacaftor-Ivacaftor (ETI) therapy markedly improves pulmonary function in people with cystic fibrosis (pwCF) but induces weig...
Gastric cancer is a leading cause of mortality worldwide, yet the development of computer-aided diagnosis (CAD) systems for its early detection is hin...
BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is increasingly recognized as a systemic inflammatory condition closely linked to metabolic d...
BACKGROUND: Large language models (LLMs) demonstrate potential in the laboratory, yet rigorous clinical evaluation remains limited. The opacity of LLM...