Latest AI and machine learning research in endocrinology for healthcare professionals.
Diabetic retinopathy disease contains lesions (e.g., exudates, hemorrhages, and microaneurysms) that...
Permeabilities of various trace elements (TEs) through the blood-follicle barrier (BFB) play an impo...
Thyroid-associated ophthalmopathy (TAO), also referred to as Graves' ophthalmopathy, is a medical co...
OBJECTIVE: To assess the diagnostic value of combining plasma steroid profiling with machine learnin...
AIMS: Machine learning models can use image and text data to predict the number of years since diabe...
BACKGROUND: Prediction of lymph node metastasis (LNM) is critical for individualized management of p...
BACKGROUND: People with polycystic ovary syndrome suffer from many symptoms and are at risk of devel...
In this research work, a novel fuzzy data transformation technique has been proposed and applied to ...
OBJECTIVE: The Da Vinci Robot is the most advanced micro-control system in endoscopic surgical instr...
BACKGROUND: Diabetic foot ulcers (DFUs) pose a serious long-term threat because of elevated mortalit...
Diabetes mellitus (DM) is a persistent metabolic disorder associated with the hormone insulin. The t...
The rapid surge in artificial intelligence (AI) has dominated technological innovation in today's so...
PURPOSE: To evaluate the Stratipath Breast tool for image-based risk profiling and compare it with a...
BACKGROUND AND PURPOSE: Spontaneous intracranial hypotension is an increasingly recognized condition...
With the release of ChatGPT at the end of 2022, a new era of thinking and technology use has begun. ...
Proper insulin management is vital for maintaining stable blood sugar levels and preventing complica...
PURPOSE: This study aims to develop a deep learning-based computer-aided diagnosis (CAD) system for ...
Thyroid nodules are a common occurrence, and although most are non-cancerous, some can be malignant....
AIM: To build a facial image database and to explore the diagnostic efficacy and influencing factors...
BACKGROUND: Thyroid-associated ophthalmopathy (TAO) is the most prevalent autoimmune orbital conditi...
AIM: To study the role of iodine, selenium and zinc in the pathogenesis of iodine deficiency and aut...