Latest AI and machine learning research in endocrinology for healthcare professionals.
To evaluate whether the well-established age-related reduction in antral follicle counts (AFC) is gr...
Metabolic dysfunction-associated steatotic liver disease (MASLD) arises from excessive hepatic fat a...
Timely prognosis of type 2 diabetes (T2D) is critical for effective interventions and reducing econo...
Cardiovascular disease (CVD) remains the leading cause of mortality globally, with many events occur...
The distribution of abdominal adipose depots and their mechanistic links to type 2 diabetes remain i...
Diabetes mellitus remains a major global health burden, causing an estimated 3.4 million deaths in 2...
Sex differences in the humoral immune responses to the seasonal quadrivalent influenza vaccine (QIV)...
Bariatric surgery is an established treatment for obesity and its associated comorbidities, includin...
Diabetic Retinopathy (DR) is a leading cause of preventable blindness. Early detection at the DR1 ...
BACKGROUND/PURPOSE OF THE STUDY: Type 2 diabetes mellitus (T2DM)-one of the fastest globally spreadi...
PURPOSE: Thyroid Imaging Reporting and Data System (TIRADS) does not perform well in thyroid adenoma...
BACKGROUND: Diabetes is a chronic condition that significantly impacts the cardiovascular system and...
Estrogen fluctuations have been implicated in various mood disorders, including perimenopausal and p...
Intimate Partner Violence (IPV) is a major public health problem to be addressed with innovative and...
INTRODUCTION: Heart Failure (HF) complicated by thyroid dysfunction presents a complex clinical chal...
BACKGROUND: This study aims to develop an artificial intelligence (AI) model using convolutional neu...
BACKGROUND: The American Heart Association recently introduced the concept of Cardiovascular-Kidney-...
OBJECTIVE: To establish a combined model based on ultrasound radiomics combined with multimodal ultr...
OBJECTIVE: To extract and analyze the image features of two-dimensional ultrasound images and elasti...
BACKGROUND: Childhood obesity poses a significant risk to bone health, but the impact of insulin res...
OBJECTIVE: To develop and validate an interpretable machine learning (ML) model for the preoperative...