Latest AI and machine learning research in endocrinology for healthcare professionals.
BACKGROUND: The Wireless Innovation for Seniors with Diabetes Mellitus (WISDM) study demonstrated co...
Thyroid nodules, a common disease of endocrine system, have a probability of nearly 10% to turn into...
The application of multiple omics technologies in biomedical cohorts has the potential to reveal pat...
Today, as in every life-threatening disease, early diagnosis of brain tumors plays a life-saving rol...
OBJECTIVES: To develop a fully automated deep learning model for adrenal segmentation and to evaluat...
The availability of large amounts of data from continuous glucose monitoring (CGM), together with th...
BACKGROUND: Real-world studies of people with type 2 diabetes (T2D) have shown insufficient dose adj...
A 50-year-old man with muscle-invasive bladder cancer was scheduled for a robotic radical cystectomy...
PURPOSE: To create an ultrasound -based deep learning radiomics nomogram (DLRN) for preoperatively p...
BACKGROUND: Several studies have used artificial intelligence (AI) to analyze cytology images, but A...
Machine learning methods have been growing in prominence across all areas of medicine. In pathology,...
PURPOSE: To compare performance of 1-mm deep learning reconstruction (DLR) with 3-mm routine MRI ima...
BACKGROUND: Artificial intelligence technology has become a mainstream trend in the development of m...
BACKGROUND: Diabetic foot ulcer (DFU) and the resulting lower extremity amputation are associated wi...
In this work, the photoacoustic (PA) quantitative measurement of blood glucose concentration (BGC) i...
BACKGROUND & AIM: Diabetes mellitus has become one of the out brakes causing major health issues in ...
Colorimetric paper sensors are used in various fields due to their convenience and intuitive manner....
Nonalcoholic fatty liver disease (NAFLD) is one of the most common causes of chronic liver disease i...
Background and Objectives: Laparoscopic adrenalectomy (LA) is the standard surgical approach for adr...
BACKGROUND: Opportunely screening for diabetes is crucial to reduce its related morbidity, mortality...
OBJECTIVES: Deep learning algorithms have shown potential in streamlining difficult clinical decisio...