Latest AI and machine learning research in endocrinology for healthcare professionals.
OBJECTIVE: To systematically compare the differences in urinary organic acid metabolic profiles between patients with urinary calculi and non-calculi individuals, to screen disease-specific characteristic metabolic biomarkers and key signaling pathways, and to elucidate the potential mechanism underlying the occurrence and progression of urinary calculi at the metabolic level, so as to provide a t...
PURPOSE: Diabetic Retinopathy (DR) is a vision-threatening complication in diabetic patients. It harms retinal vessels and may lead to blindness. Detection at an early stage and its classification can prevent the risk of vision loss. However, fundus image-based manual screening of DR is a time-consuming and complex process. METHODS: In recent years, many automated techniques for DR detection have ...
OBJECTIVE: Brain-predicted age difference (BrainAGE) is a neuroimaging biomarker reflecting brain health, with potential implications for post-stroke ...
BACKGROUND: Gestational diabetes mellitus (GDM) is a common pregnancy complication, yet its molecular mechanisms remain incompletely understood. This ...
BACKGROUND: Erectile dysfunction (ED) is a prevalent male health disorder and a recognized sentinel marker for cardiovascular disease. Current diagnos...
PURPOSE: Diabetic retinopathy, a major cause of blindness in working-age individuals, advances without adequate recognition and treatment from non-pro...
BACKGROUND: AI-driven clinical systems can improve diagnosis, prognosis, and resource allocation, but they may reproduce disparities encoded in histor...
OBJECTIVE: Cervical spondylotic myelopathy (CSM) is a leading cause of spinal cord dysfunction requiring surgical intervention. Prolonged length of st...
BACKGROUND: As the prevalence of diabetes rises, diabetic kidney disease (DKD) has become a leading cause of end-stage renal disease. Big data analysi...
Accurately distinguishing the benign thyroid nodules (BTNs) and malignant thyroid nodules (MTNs) is crucial for treatment planning and prognosis. This...
OBJECTIVES: Medication adherence remains a major challenge in the management of type 2 diabetes (T2D), especially in middle-income countries such as M...
Pituitary macroadenomas (PMAs) are among the most common intracranial tumors and pose significant surgical challenges, especially when the tumor consi...
Thyroid nodules are detected in a large proportion of adults undergoing high-resolution ultrasonography, yet only a minority harbor clinically signifi...
Diabetic Retinopathy (DR) affects millions of people worldwide, but screening at population-scale is still limited by the lack of specialists and the ...
Neurodevelopmental disorders often share similar behavioral diagnostic criteria including socioemotional and cognitive deficits. The prairie vole is a...
Atypia of undetermined significance (AUS) thyroid nodules account for 10-30% of thyroid fine-needle aspiration (FNA) cytology results, with a malignan...
BACKGROUND: Despite the effectiveness of lifestyle multidisciplinary (LMD) weight loss interventions in pediatric obesity, outcomes remain variable be...
Learning to Rank (LeToR) methods have gained increasing attention in drug response prediction, offering a direct way to prioritize effective treatment...
BACKGROUND: Traditional risk factors do not fully account for the residual cardiometabolic risk of major adverse cardiovascular events (MACE) in coron...
PURPOSE: This study aimed to identify the signature genes that mediate the effects of type 2 diabetes (T2D) on coronary artery bypass grafting (CABG),...