Latest AI and machine learning research in endocrinology for healthcare professionals.
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...
PURPOSE: To develop an automated diabetic retinopathy (DR) staging system using optical coherence to...
To investigate the correlations between ultrasonographic morphological characteristics quantitativel...
The bioactive peptide has wide functions, such as lowering blood glucose levels and reducing inflamm...
Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-...
Whole-slide imaging (WSI) has wide spectrum of application in histopathology, especially in the stud...
OBJECTIVE: To evaluate image quality of deep learning-based image reconstruction (DLIR) in contrast-...
PURPOSE: We aimed to develop and test a deep-learning system to perform image quality and diabetic m...
Objective To establish an artificial intelligence model based on B-mode thyroid ultrasound images to...
Vitamin D plays a protective role against COVID-19. Patients with deficiency of vitamin D are more p...
To examine the surgical outcome of transoral robotic thyroidectomy. Clinic data of total 30 cases ...
OBJECTIVE: To develop a machine learning tool to integrate clinical data for the prediction of non-b...
Diabetic retinopathy (DR) is one of the most common chronic diseases around the world. Early screeni...
Bone age Assessment or the skeletal age is a general clinical practice to detect endocrine and metab...
PURPOSE: To evaluate the clinical performance of an automated diabetic retinopathy (DR) screening mo...
Although papillary thyroid cancers are known to have a relatively low risk of recurrence, several fa...
Objective We developed a universal lesion detector (ULDor) which showed good performance in in-lab e...