Latest AI and machine learning research in endocrinology for healthcare professionals.
Type 1 diabetes (T1D) is a chronic health condition resulting from pancreatic beta cell dysfunction ...
Current methods of evaluating the degree of diabetic retinopathy are highly subjective and have no q...
Type 1 diabetes (T1D) is characterized by pancreatic beta cell dysfunction and insulin depletion. Ov...
BACKGROUND: Congenital adrenal hyperplasia (CAH) due to 21-hydroxylase deficiency leads to impaired ...
BACKGROUND: Thyroidectomy is one of the most commonly performed surgical procedures. The region of t...
Despite the rapid development of science and technology in healthcare, diabetes remains an incurable...
Online activity-based data can be used to aid infectious disease forecasting. Our aim was to exploit...
Xiaokewan is a typical Traditional Chinese medicine (TCM) for diabetes and contains various natural ...
To identify the most important factors that impact brain volume, while accounting for potential coll...
The factors that determine Serum Thyrotropin (TSH) levels have been examined through different metho...
: To describe the development and validation of an artificial intelligence-based, deep learning algo...
OBJECTIVE: To determine if natural language processing (NLP) improves detection of nonsevere hypogly...
Individualized treatment rules (ITRs) tailor medical treatments according to patient-specific charac...
Retinal fundus photography provides a non-invasive approach for identifying early microcirculatory a...
Social determining factors such as the adverse influence of globalization, supermarket growth, fast ...
The accurate detection of radioactive iodine-avid lymph node (LN) metastasis on I post-ablation whol...
BACKGROUND: Photographic diabetic retinopathy screening requires labour-intensive grading of retinal...
Significant attention has been paid to the accurate detection of diabetes. It is a big challenge for...
BACKGROUND: The decision to treat unruptured intracranial aneurysms (UIAs) or not is complex and req...
Diabetic retinopathy (DR) grading is crucial in determining the adequate treatment and follow up of ...
OBJECTIVE: We analyzed data from inpatients with diabetes admitted to a large university hospital to...