Latest AI and machine learning research in endocrinology for healthcare professionals.
PURPOSE: Periodontitis is a common chronic disease associated with systemic conditions such as diabe...
OBJECTIVES: To assess the diagnostic potential of magnetic resonance imaging (MRI) radiomics and mac...
PURPOSE: To evaluate the segmentation performance and total metabolic tumor volume (TMTV) prediction...
BACKGROUND: The rate of treatment failure with sodium-glucose cotransporter-2 inhibitors (SGLT2i) is...
Sweat-based metabolic monitoring offers a non-invasive alternative to blood tests, but its clinical ...
OBJECTIVES: To elicit stated preferences and willingness-to-pay (WTP) for artificial intelligence (A...
The long-term physiologic effects of thyroid problems make them one of the most important endocrine ...
Background diabetes mellitus is prevalent among patients with acute ischemic stroke (AIS). The progn...
Improving overall health and preventing complications is crucial for timely and effective treatment ...
BACKGROUND: Though follicular thyroid carcinoma can be confirmed postoperatively by the histological...
Diabetic retinopathy (DR) is a leading cause of blindness in middle-aged and elderly populations wor...
BACKGROUND: Early and reliable grading of diabetic retinopathy is important for preventing avoidable...
BACKGROUND: Hemorrhagic transformation (HT) is a major complication of acute ischemic stroke (AIS), ...
AIMS: Achieving optimal glycaemic control remains a burden for many people with diabetes on intensiv...
Classification of brain tumors is a difficult problem in medical imaging analysis. Over the past few...
BACKGROUND: Evidence is limited on whether daily step counts are uniform across individuals or wheth...
OBJECTIVE: Metabolic syndrome (MetS) is a major risk factor for cardiovascular diseases and type 2 d...
Preeclampsia (PE) remains a leading cause of maternal and perinatal mortality worldwide, and the com...
BACKGROUND: The rapid development of artificial intelligence, particularly large language models (LL...
Defining molecular pathways driving β-cell failure in type 2 diabetes (T2D) is challenging given don...
BACKGROUND: The non-invasive detection of cancer via exhaled breath condensate (EBC) represents a pr...