Latest AI and machine learning research in endocrinology for healthcare professionals.
The aim of this study is to compare some machine learning methods with traditional statistical para...
BACKGROUND: Diabetes has become one of the hot topics in life science researches. To support the ana...
Control of blood glucose is essential for diabetes management. Current digital therapeutic approache...
BACKGROUND: Many glycemic variability (GV) indices exist in the literature. In previous works, we de...
UNLABELLED: Prior art on automated screening of diabetic retinopathy and direct referral decision sh...
BACKGROUND: In the past 20 years, the fast spread of new surgical technologies has reached an import...
Bone age assessment (BAA) has various clinical applications such as diagnosis of endocrine disorders...
PURPOSE: To develop a deep learning-based computer-aided diagnosis (CAD) system for use in the CT di...
Five years ago, robot-assisted transaxillary thyroidectomy (RATT) was introduced in the Netherlands....
BACKGROUND: Predicting insulin-induced postprandial hypoglycemic events is critical for the safety o...
BACKGROUND: Improper dosing of medications such as insulin can cause hypoglycemic episodes, which ma...
Herein, a light-driven, membrane-less and mediator-less self-powered cytosensing platform via integr...
It is very significant to explore the intrinsic differences in breast cancer subtypes. These intrins...
BACKGROUND: The activation of follicle stimulating hormone receptor (FSHR) by FSH and the consequent...
OBJECTIVES: To assess the performance of feed-forward back-propagation artificial neural networks (A...
PURPOSE: The purpose of this study was to evaluate the performance of a deep learning algorithm in d...
PURPOSE: We investigated using ultrawide-field fundus images with a deep convolutional neural networ...
Job interviews are significant barriers for individuals with autism spectrum disorder because these ...
Limited health literacy is a barrier to optimal healthcare delivery and outcomes. Current measures r...
The diagnosis of type 2 diabetes (T2D) at an early stage has a key role for an adequate T2D integrat...
The nuclear androgen receptor (AR) is one of the most relevant biological targets of Endocrine Disru...