Latest AI and machine learning research in diabetes for healthcare professionals.
BACKGROUND: The rate of treatment failure with sodium-glucose cotransporter-2 inhibitors (SGLT2i) is...
OBJECTIVES: To elicit stated preferences and willingness-to-pay (WTP) for artificial intelligence (A...
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 ...
PURPOSE: To develop a multisource machine learning model for detecting referral-warranted retinopath...
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...
With the rising prevalence of type 2 diabetes (T2D) among children and adolescents, the ability to p...
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...
Diabetic retinopathy (DR) is one of the major causes of preventable blindness in the world, and accu...
BACKGROUND: Evidence is limited on whether daily step counts are uniform across individuals or wheth...
Needle electromyography (nEMG) is a valuable tool for diagnosing patients with neuromuscular disease...
OBJECTIVE: Metabolic syndrome (MetS) is a major risk factor for cardiovascular diseases and type 2 d...
The Healthy Eating Index (HEI) is widely used to assess diet quality, but certain contexts (e.g., pr...
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...
The discovery of selective immunosuppressants for T cell-mediated diseases like Ulcerative Colitis (...
BACKGROUND: Sevoflurane and propofol are commonly used anesthetics that may exert pronounced effects...
AIM: To develop and validate a clinician-friendly logistic regression prediction model for self-repo...
BACKGROUND: The triglyceride-glucose (TyG) index and triglyceride-glucose-body mass index (TyG-BMI) ...