Latest AI and machine learning research in endocrinology for healthcare professionals.
Diabetes mellitus (DM) is a significant public health issue in Germany, affecting 8 million individu...
Recent advances in SSL enabled novel medical AI models, known as foundation models, offer great po...
Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise care...
PURPOSE: Patient-centered outcomes (PCOs) are pivotal in cancer treatment, as they directly reflect ...
OBJECTIVE: If excellent response (ER) occurs after radioactive iodine (RAI) treatment in patients wi...
OBJECTIVE: To analyze the radiomic and clinical features extracted from 2D ultrasound images of thyr...
Gut microbes is a crucial factor in the pathogenesis of type 1 diabetes (T1D). However, it is still ...
CONTEXT: The presence of metabolic dysfunction-associated steatotic liver disease (MASLD) in patient...
Traditional linear mediation analysis has inherent limitations when it comes to handling high-dimens...
INTRODUCTION: Due to the high cost and complexity, the oral glucose tolerance test is not adopted as...
Applications of Artificial Intelligence (AI) deep-learning models to screening for clinical conditio...
Prediabetes is a critical health condition characterized by elevated blood glucose levels that fall ...
Rising diabetes rates have led to increased healthcare costs and health complications. An estimated ...
This paper presents a novel approach to noninvasive hyperglycemia monitoring utilizing electrocardio...
Drawing inspiration from convolutional neural networks, graph convolutional networks (GCNs) have bee...
The prevalence of obstructive sleep apnea comorbid with diabetes is high while the awareness of diab...
In the U.S., over a third of adults are pre-diabetic, with 80% unaware of their status. This underli...
Understanding the complex relationships of biomarkers in diabetes is pivotal for advancing treatme...
Calculating mealtime insulin doses poses a significant challenge for individuals with Type 1 Diabe...
CONTEXT: Use of artificial intelligence (AI) to predict clinical outcomes in thyroid nodule diagnost...
Immunohistochemistry (IHC) analysis is a well-accepted and widely used method for molecular subtyp...