Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND AND AIM: Managing obesity requires a comprehensive approach that involves therapeutic lif...
STUDY OBJECTIVES: Undiagnosed or untreated moderate-to-severe obstructive sleep apnea (OSA) increase...
OBJECTIVES: Convolutional neural networks (CNNs) are increasingly used to classify medical images, b...
OBJECTIVE: To develop a prediction model for hypertensive disorders of pregnancy (HDP) and gestation...
Activation of NLRP3 (NOD-like receptor family, pyrin domain-containing protein 3) has been associate...
Recently, there has been significant attention on machine learning algorithms for predictive modelin...
Hematopoietic progenitor kinase 1 (HPK1) is a key negative regulator of T-cell receptor (TCR) signal...
BACKGROUND: Hypoglycemia is common in insulin-treated type 2 diabetes (T2D) patients, which can lead...
Ten percent of adults in the United States have a diagnosis of diabetes and up to a third of these i...
Colorectal cancer is a common malignancy and a major health concern in Korea. Although colonoscopy i...
Postoperative pain is a relevant and unresolved problem in clinical practice. In order to reduce the...
BACKGROUND: Type 2 diabetes (T2D) continues to present a global public health challenge due to its i...
Protein kinase C (PKC) is a family of serine/threonine kinases, and PKC ligands have the potential t...
CONTEXT: Large-for-gestational-age (LGA), one of the most common complications of gestational diabet...
White matter hyperintensities (WMH) are neuroimaging markers linked to an elevated risk of cognitive...
In recent years, the rapid development of artificial intelligence (AI) has brought innovative opport...
Refractive error is a significant factor contributing to visual impairment, imposing a relatively la...
Early life experiences are crucial for health and well-being, influencing physical, emotional, and s...
Previous research has established type 2 diabetes mellitus as a significant risk factor for various ...
Artificial intelligence-based cardiac motion mapping offers predictive insights into pulmonary hyper...
PURPOSE: To develop a deep learning method for vessel segmentation in fundus images, measure retinal...