Latest AI and machine learning research in endocrinology for healthcare professionals.
OBJECTIVE: The study sought to determine whether machine learning can predict initial inpatient tota...
CONTEXT: The resection plan of pituitary adenoma (PA) needs preoperative observation of the sellar r...
PURPOSE: Fundus images are typically used as the sole training input for automated diabetic retinopa...
PURPOSE: To investigate the effect of denoise processing by artificial intelligence (AI) on the opti...
Thyroid nodules are neoplasms commonly found among adults, with papillary thyroid carcinoma (PTC) be...
Multicolor (MC) imaging is an imaging modality that records confocal scanning laser ophthalmoscope (...
Single-anastomosis duodeno-ileal bypass with sleeve gastrectomy (SADI-S) is simpler and has similar ...
PURPOSE: To develop a deep learning (DL) model to detect morphologic patterns of diabetic macular ed...
To develop a convolutional neural network based model for assisting pathological diagnoses on thyro...
To evaluate the complications of Da Vinci robotic thyroid surgery by bilateral axillo-breast approa...
BACKGROUND: Strategies for integrating artificial intelligence (AI) into thyroid nodule management r...
CONTEXT: Accurate methods for early gestational diabetes mellitus (GDM) (during the first trimester ...
To investigate the segmentation effects of the deep learning method on CT in the arterial phase and...
It is well known that the development of drug resistance in cancer cells can lead to changes in cell...
OBJECTIVE: Unilateral adrenalectomy (UA) is an alternative for treatment in bilateral adrenal incide...
CONTEXT: Human zonulin is a protein that regulates the intercellular tight junctions in various tiss...
CONTEXT: Different polymorphisms of the endothelial nitric oxide synthase gene (NOS3) have been rela...
BACKGROUND: Thyroid hormone resistance (RTH) is defined as a decrease in response to thyroid hormone...
INTRODUCTION: Our goal was to evaluate and compare the diagnostic utility of thyroid hormone withdra...
Aiming at the difficulty of accurate prediction due to the randomness and nonstationary nature of bl...
BACKGROUND: The incidence of thyroid cancer has increased worldwide during the last decade, becoming...