Latest AI and machine learning research in endocrinology for healthcare professionals.
Type 2 diabetes is a chronic, costly disease and is a serious global population health problem. Yet,...
BACKGROUND/OBJECTIVE: The development of Graves disease (GD) after subacute thyroiditis (SAT) is rar...
Digital pathology has recently been more broadly deployed, fueling artificial intelligence (AI) appl...
OBJECTIVE: Despite advancements of intraoperative visualization, the difficulty to visually distingu...
Data-driven characterization of symptom clusters in chronic conditions is essential for shared clust...
BACKGROUND: Medical experts in the domain of Diabetes Mellitus (DM) acquire specific knowledge from ...
PURPOSE: To evaluate the performance of a federated learning framework for deep neural network-based...
To compare the diagnostic performances of physicians and a deep convolutional neural network (CNN) p...
OBJECTIVE: No accurate predictive models were identified for hormonal prognosis in non-functioning p...
ETHNOPHARMACOLOGICAL RELEVANCE: Mulberry leaves have been used as traditional hypoglycemic medicine-...
PURPOSE: The purpose of this study is to develop and validate the intelligent diagnosis of severe DR...
Peptidergic dense-core vesicles are involved in packaging and releasing neuropeptides and peptide ho...
The remarkable advancements in biotechnology and public healthcare infrastructures have led to a mom...
In pituitary adenomas (PAs), the use of postoperative steroid supplementation remains controversia...
Identification of medical conditions using claims data is generally conducted with algorithms based ...
When approaching thyroid gland tumor classification, the differentiation between samples with and wi...
A growing number of smart wearable biosensors are operating in the medical IoT environment and those...
Oral administration is the most convenient and commonly used approach for drug delivery, while it is...
Applying deep learning in population genomics is challenging because of computational issues and lac...
(1) Background: Diabetic retinopathy (DR) can cause blindness. Current guidelines on diabetic eye ca...
A 34-year-old woman with a history of congenital hypothyroidism and 15 years of obstructive sleep ap...