Latest AI and machine learning research in endocrinology for healthcare professionals.
To address the limitations inherent in both sulfur autotrophic denitrification (SAD) and heterotroph...
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...
OBJECTIVE: To quantitatively assess the performance of ChatGPTv4, an Artificial Intelligence Languag...
In this study, a model for predicting lymph node metastasis in papillary thyroid cancer was trained ...
This study aimed to predict arginine vasopressin deficiency (AVP-D) following transsphenoidal pituit...
Prophylactic dissection of paratracheal lymph nodes in clinically lymph node-negative (cN0) papillar...
BACKGROUND: Imbalanced datasets pose significant challenges in predictive modeling, leading to biase...
Diabetes is thought to be the most common illness in underdeveloped nations. Early detection and com...
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...
Deep learning-based models for predicting blood glucose levels in diabetic patients can facilitate p...
BACKGROUND: Continuous glucose monitoring (CGM) systems allow detailed assessment of postprandial gl...
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...
Deep learning (DL) tools developed on adult data sets may not generalize well to pediatric patients,...