Latest AI and machine learning research in endocrinology for healthcare professionals.
OBJECTIVE: Gestational diabetes mellitus (GDM) is associated with adverse maternal and fetal outcome...
OBJECTIVES: Prolactinoma is the most common cause of pituitary tumours. Current medical guidelines r...
BACKGROUND: From cell phones to aerospace, artificial intelligence (AI) has wide-reaching influence ...
BACKGROUND: Despite excellent prediction performance, noninterpretability has undermined the value o...
OBJECTIVE: The sensitivity of thyroglobulin (Tg) to detect differentiated thyroid cancer recurrence ...
OBJECTIVE: To evaluate diabetic retinopathy (DR) screening via deep learning (DL) and trained human ...
One of the fundamental challenges when dealing with medical imaging datasets is class imbalance. Cla...
BACKGROUND: The aim of a recent research project was the investigation of the mechanisms involved in...
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is extremely harmful to the human body and may cau...
Aberrant metabolism is the root cause of several serious health issues, creating a huge burden to he...
The diagnosis of diabetic kidney disease can be delayed by limitations of primary biomarkers, which ...
Emerging data suggest that type 1 diabetes affects not only the β-cell-containing islets of Langerha...
We present a fully closed-loop design for an artificial pancreas (AP) that regulates the delivery of...
BACKGROUND: Aberrations in endothelial cells, immune and oxidative pathways are associated with athe...
PURPOSE: To evaluate the performance of a deep learning algorithm in the detection of referral-warra...
Deep learning methods for diabetic retinopathy (DR) diagnosis are usually criticized as being lack o...
BACKGROUND/OBJECTIVES: The exposure to sucrose in rats has mimic abnormalities attributed to metabol...
OBJECTIVE: To determine whether adrenal crisis (AC) identification may be affected by the definition...
BACKGROUND: Diabetic retinopathy and kidney disease share underlying mechanisms of microvascular dam...
This work set out to develop a motion-correction approach aided by conditional generative adversaria...
OBJECTIVE: Diabetes insipidus (DI) can be classified into 2 types: central/neurogenic DI and nephrog...