Latest AI and machine learning research in endocrinology for healthcare professionals.
Gestational diabetes mellitus (GDM) is a common complication of pregnancy, which has significant adv...
OBJECTIVE: To develop a deep learning algorithm (DLA) to detect diabetic kideny disease (DKD) from r...
In recent years, the incidence of thyroid diseases has increased significantly and ultrasound examin...
INTRODUCTION: Doege-Potter syndrome is a rare clinical entity characterized by recurrent hypoglycemi...
Early diagnosis of Type 2 Diabetes Mellitus (T2DM) is crucial to enable timely therapeutic intervent...
Subclinical Cushing syndrome is a condition of mild autonomous cortisol excess (MACE) that lacks typ...
PURPOSE: To develop deep learning-based networks for the diagnosis of diabetic retinopathy (DR) with...
Renal cell carcinoma (RCC) accounts for more than 90% of cases of malignant kidney tumors and repres...
Thyroid cancer is the most common malignant endocrine tumor. The key test to assess preoperative ris...
PURPOSE: To analyze the efficacy of a deep learning (DL)-based artificial intelligence (AI)-based al...
PURPOSE: To develop and train a deep learning-based algorithm for detecting disorganization of retin...
Retinopathy is one of the most common micro vascular impairments in diabetic subjects. Elevated bloo...
Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder that affects a significant portion o...
Bone age assessment is of great significance to genetic diagnosis and endocrine diseases. Traditiona...
The stability of biopharmaceutical therapeutics over the storage period/shelf life has been a challe...
Diabetic macular edema (DME) is an important cause of visual impairment in the working-age group. De...
To explore the safety and feasibility of bilateral axillo-breast approach (BABA) robot in the operat...