Latest AI and machine learning research in endocrinology for healthcare professionals.
Patients with type 2 diabetes mellitus (T2DM) who have severe hypoglycemia (SH) poses a considerable...
Diabetes, as an incurable lifelong chronic disease, has profound and far-reaching effects on patient...
In this study, a model for predicting lymph node metastasis in papillary thyroid cancer was trained ...
OBJECTIVE: To quantitatively assess the performance of ChatGPTv4, an Artificial Intelligence Languag...
BACKGROUND: In the age of big data, linked social and administrative health data in combination with...
Diabetes is thought to be the most common illness in underdeveloped nations. Early detection and com...
BACKGROUND: Imbalanced datasets pose significant challenges in predictive modeling, leading to biase...
Prophylactic dissection of paratracheal lymph nodes in clinically lymph node-negative (cN0) papillar...
This study aimed to predict arginine vasopressin deficiency (AVP-D) following transsphenoidal pituit...
Cognitive dysfunction caused by diabetes has become a serious global medical issue. Diabetic kidney ...
OBJECTIVE: More and more studies have found that polycystic ovary syndrome (PCOS) is significantly a...
For individuals diagnosed with diabetes mellitus, it is crucial to keep a record of the carbohydrate...
BACKGROUND: The use of both clinical factors and social determinants of health (SDoH) in referral de...
Deep learning-based models for predicting blood glucose levels in diabetic patients can facilitate p...
Hypothyroidism is a known adverse event associated with the use of immune checkpoint inhibitors (ICI...
INTRODUCTION: Diabetic foot ulcers (DFUs) are a severe complication among diabetic patients, often l...
PURPOSE: Anaplastic thyroid carcinoma (ATC) is a highly aggressive and lethal thyroid cancer subtype...
In order to evaluate the relationship between coronary heart disease (CHD) and fractional flow reser...
OBJECTIVE: Approximately 30 % of thyroid nodules yield an indeterminate diagnosis through convention...
Accurate non-invasive monitoring of blood glucose (BG) is a challenging issue in the therapy of diab...
BACKGROUND: Identification of individuals with prediabetes who are at high risk of developing diabet...