Latest AI and machine learning research in endocrinology for healthcare professionals.
PURPOSE: Polycystic Ovary Syndrome (PCOS) is the most frequent endocrinopathy in women of reproducti...
Deep neural networks (DNNs) that predict mutational status from H&E slides of cancers can enable ine...
The time series of blood glucose concentration in diabetic patients are time-varying, nonlinear, and...
BACKGROUND AND AIMS: Artificial Intelligence (AI) methods have recently become critical for research...
PURPOSE: The objective of this study was to establish diagnostic technology to automatically grade t...
OBJECTIVES: Circulating insulin concentrations mediate vascular-inflammatory and prothrombotic facto...
People with diabetes require lifelong access to healthcare services to delay the onset of complicati...
Diabetic retinopathy (DR) is a common chronic fundus disease, which has four different kinds of micr...
Hammour fish (grouper fish) are known to be of great nutritional value for human consumption, as the...
The study aims to explore the application of international classification of diseases (ICD) coding t...
AIMS: This research work presented a comparative study of machine learning (ML), including two objec...
The fracture risk of patients with diabetes is higher than those of patients without diabetes due to...
BACKGROUND: Sellar masses (SM) frequently present with insidious hormonal dysfunction. We previously...
OBJECTIVES: Hyperthyroidism is characterized by increasing production of thyroid hormone (TH) and de...
BACKGROUND: It is often tricky to differentiate cystic pituitary adenoma from Rathke cleft cyst with...
BACKGROUND: Diabetic retinopathy (DR) affects 10-24% of patients with diabetes mellitus type 1 or 2 ...
Given the rapid increase in the incidence of cardiometabolic conditions, there is an urgent need for...
Diabetic retinopathy (DR) is an eye disease that alters the blood vessels of a person suffering from...
This article explores the value of wall F-FDG PET/Cr imaging in the diagnosis of thyroid cancer, stu...
This study investigated the diagnostic performance, feasibility, and end-user experiences of an arti...
In this study, we aimed to propose a novel diabetes index for the risk classification based on machi...