Latest AI and machine learning research in endocrinology for healthcare professionals.
OBJECTIVE: Traditional blood glucose testing methods have several disadvantages, such as high pain a...
Graves disease (GD) and type 2 diabetes mellitus (T2DM) both impair liver function; we therefore exp...
Glucose management for people with type 2 diabetes mellitus is essential but challenging due to the ...
We developed a neural network architecture to evaluate the patient's state using temporal data, pati...
Most screening tests for Diabetes Mellitus (DM) in use today were developed using electronically col...
Artificial intelligence (AI) is transforming healthcare and offers new tools in clinical research, p...
OBJECTIVE: Reportedly, two-thirds of the patients who were positive for diabetes during screening fa...
Type 2 diabetes mellitus is a metabolic disorder of glucose management, whose prevalence is increasi...
We present a case series of 12 consecutive robot-assisted adrenalectomies performed from May 2019 to...
This study reviews the recent progress of machine learning for the early diagnosis of thyroid diseas...
Most of the existing near-infrared noninvasive blood glucose detection models focus on the relations...
To investigate the correlations between ultrasonographic morphological characteristics quantitativel...
The bioactive peptide has wide functions, such as lowering blood glucose levels and reducing inflamm...
OBJECTIVE: To evaluate image quality of deep learning-based image reconstruction (DLIR) in contrast-...
Whole-slide imaging (WSI) has wide spectrum of application in histopathology, especially in the stud...
Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-...
Objective To establish an artificial intelligence model based on B-mode thyroid ultrasound images to...
To examine the surgical outcome of transoral robotic thyroidectomy. Clinic data of total 30 cases ...
Vitamin D plays a protective role against COVID-19. Patients with deficiency of vitamin D are more p...
OBJECTIVE: To develop a machine learning tool to integrate clinical data for the prediction of non-b...
Bone age Assessment or the skeletal age is a general clinical practice to detect endocrine and metab...