Latest AI and machine learning research in endocrinology for healthcare professionals.
Accurate diagnosis of thyroid nodules using ultrasonography is a valuable but tough task even for ex...
Metabolic status of dairy cows in early lactation can be evaluated using the concentrations of plasm...
OBJECTIVE: Microcephalic primordial dwarfism (MPD) is a group of clinically and genetically heteroge...
The purpose of this study was to develop and validate a radiomics model for evaluating immunohistoc...
OBJECTIVE: Diabetes is responsible for considerable morbidity, healthcare utilisation and mortality ...
Artificial intelligence (AI) will pave the way to a new era in medicine. However, currently availabl...
Longevity is a very important and interesting topic, and has been demonstrated to be related to lon...
Diabetes is a global public health disease projected to affect 642 million adults by 2040, with abou...
PURPOSE: New-onset pituitary gland lesions are observed in up to 18% of cancer patients undergoing t...
BACKGROUND: Hyperglycemia or high blood glucose during surgery is associated with poor postoperative...
PURPOSE: Pituitary adenomas are among the most frequent intracranial tumors. They may exhibit clinic...
The automated analysis of retinal images is a widely researched area which can help to diagnose seve...
This study determined whether feeding the immunomodulating supplement, OmniGen-AF, to feedlot heifer...
Hypoglycemia or low blood glucose is the most feared complication of insulin treatment of diabetes. ...
For people with Type 1 diabetes (T1D), forecasting of blood glucose (BG) can be used to effectively ...
AIM: To compare the efficacy of computed tomography (CT) texture analysis and conventional evaluatio...
BACKGROUND: Diabetes mellitus (DM) is a metabolic disorder that causes abnormal blood glucose (BG) r...
Type 2 diabetes mellitus (T2DM) has become a prevalent health problem in China, especially in urban ...
BACKGROUND: The assessment of bone age and skeletal maturity and its comparison to chronological age...
We aim at segmenting a wide variety of organs, including tiny targets (e.g., adrenal gland), and neo...
BACKGROUND: Deep learning has the potential to assist the medical diagnostic process. We aimed to id...