Latest AI and machine learning research in endocrinology for healthcare professionals.
Current classification systems for thyroid nodules are very subjective. Artificial intelligence (AI...
BACKGROUND AND AIMS: Diabetes has been recognized as a continuing health challenge for the twenty-fi...
Conventional glucose monitoring methods for the growing numbers of diabetic patients around the worl...
Nocturnal hypoglycemia is a serious complication of insulin-treated diabetes, which commonly goes un...
DNA methylation of various genomic regions has been found to be associated with gene expression in d...
BACKGROUND AND OBJECTIVES: Glycemic control with unannounced meals is the major challenge for artifi...
BACKGROUND AND OBJECTIVE: Many studies regarding health analysis request structured datasets but the...
Glucose-6-Phosphate Dehydrogenase (G6PD) is a ubiquitous cytoplasmic enzyme converting glucose-6-pho...
PURPOSE: This study aimed to validate a deep learning model's diagnostic performance in using comput...
Vitamin D insufficiency has been associated with faster progression of atherosclerosis and increase...
BACKGROUND AND OBJECTIVE: Diabetic retinopathy (DR), which is generally diagnosed by the presence of...
PURPOSE: The type of pituitary adenoma (PA) cannot be clearly recognized with preoperative magnetic ...
Learning from outliers and imbalanced data remains one of the major difficulties for machine learnin...
UNLABELLED: Diabetic Macular Edema (DME) is an advanced stage of Diabetic Retinopathy (DR) and can l...
Achieving glycemic control in critical care patients is of paramount importance, and has been linke...
OBJECTIVE: To construct and internally validate prediction models to estimate the risk of long-term ...
Thyroid cancer is a disease in which the first symptom is a nodule in the thyroid region of the neck...
BACKGROUND: The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) comprises 6 categories ...
PURPOSE OF REVIEW: Machine learning (ML) is increasingly being studied for the screening, diagnosis,...
Recently, combining feature extraction and classification method of electroencephalogram (EEG) signa...
Thalassemia Major (TM) is a complex pathology that needs a highly skilled approach. Endocrine comor...