Latest AI and machine learning research in endocrinology for healthcare professionals.
In this study, we propose a personalized glucose prediction model using deep learning for hospitaliz...
Currently, laparoscopic adrenalectomy is worldwide considered the gold standard technique. Both tran...
INTRODUCTION: The collision of medullary (MTC) and papillary thyroid carcinoma (PTC) in the same cer...
PURPOSE: Automated facial recognition technology based on deep learning has achieved high accuracy i...
ETHNOPHARMACOLOGICAL RELEVANCE: Kidney deficiency is the main pathogenesis of osteoporosis based on ...
One of the major limitations to advancing the development of soft robots is the absence of lightweig...
PURPOSE: Thyroid-associated ophthalmopathy (TAO) might lead to blindness and orbital deformity. The ...
To describe OB/GYN fellowship directors' (FDs) observations, expectations, and preferences of incomi...
Background Achieving high-spatial-resolution pituitary MRI is challenging because of the trade-off b...
IMPORTANCE: Congenital adrenal hyperplasia (CAH) is the most common primary adrenal insufficiency in...
The classification of thyroid nodules using ultrasound (US) imaging is done using the Thyroid Imagin...
Bone age is one of biological indicators of maturity used in clinical practice and it is a very impo...
Short chain fatty acids (SCFA) are the main products of indigestible carbohydrates undergoing bacter...
BACKGROUND: Pharmacological factors used to induce insulin resistance (IR) in models may not mimic ...
BACKGROUND: Cytokines are a class of small proteins that act as chemical messengers and play a signi...
INTRODUCTION: The prepubertal stage is a critical period of body fat development, in which leptin an...
The androgen receptor (AR) is a target of interest for endocrine disruption research, as altered sig...
BACKGROUND: Central lymph node metastasis (CLNM) occurs frequently in patients with papillary thyroi...
BACKGROUND: Currently there is an ever increasing interest in Lu-177 targeted radionuclide therapies...
An etiologically based classification of diabetes is needed to account for the heterogeneity of type...
BACKGROUND: To evaluate the Fourier transform infrared spectroscopy (FT-IR) combined with deep learn...