Latest AI and machine learning research in endocrinology for healthcare professionals.
OBJECTIVE: To develop a machine-based algorithm from clinical and demographic data, physical activit...
We encountered a 55-year-old Japanese man with advanced renal cell carcinoma and slowly progressive ...
Polycystic ovary syndrome (PCOS) is one of the most common metabolic and reproductive endocrinopathi...
The characterization of the microbial population of many niches of the organism, as the gastrointest...
The prevalence of childhood and adolescence overweight an obesity is raising at an alarming rate in ...
Machine learning (ML) algorithms permit the integration of different features into a model to perfor...
Twelve to 66% of patients with clinically non-functioning pituitary adenoma (NFPA) experience tumor ...
As hormones in the endocrine system and neurotransmitters in the immune system, neuropeptides (NPs) ...
Gain-of-function mutations in human androgen receptor (AR) are among the major causes of drug resist...
BACKGROUND: Critical thyroid nodule features are contained in unstructured ultrasound (US) reports. ...
As stated by World Health Organization (WHO) report, 246 million individuals have suffered with diab...
BACKGROUND: Semisupervised and unsupervised anomaly detection methods have been widely used in vario...
As defined by the World Health Organization, an endocrine disruptor is an exogenous substance or mix...
Frozen sections provide a basis for rapid intraoperative diagnosis that can guide surgery, but the d...
INTRODUCTION: Maternal TSH receptor antibodies (TRAbs) can cross the placenta and affect fetal and n...
Using data from targeted metabolomics in serum in combination with machine learning (ML) approaches,...
Ultrasonography is widely used in the clinical diagnosis of thyroid nodules. Ultrasound images of th...
PURPOSE: Pituitary macroadenoma consistency can influence the ease of lesion removal during surgery,...
BACKGROUND: Machine learning has emerged as a viable asset in the setting of pituitary surgery. In t...
Most screening tests for T2DM in use today were developed using multivariate regression methods that...
Disease diagnosis is a critical task which needs to be done with extreme precision. In recent times,...