Latest AI and machine learning research in endocrinology for healthcare professionals.
This study aims to investigate the association between triglyceride-glucose (TyG) index and risk of CVD using explainable survival analysis method based on 2011 to 2020 China Health and Retirement Longitudinal Study (CHARLS) data. We enrolled 7,721 participants in a prospective cohort. A Lasso Cox model was implemented to select covariates for constructing the multivariate Cox regression model. Re...
Accurate and rapid determination of tumor histopathological features and molecular subtypes is critical for breast cancer prognosis and treatment strategies. This study evaluates the feasibility of a "digital biopsy" approach that uses machine learning models to predict hormone receptor status from ultrasound radiomic features non-invasively. A retrospective analysis was conducted on 353 breast tu...
Major depressive disorder (MDD) is strongly associated with suicide risk. While lipid metabolism dysregulation is implicated in MDD pathophysiology, i...
PURPOSE: To develop and benchmark a unified Deep Learning (DL) pipeline for automated detection and five-level grading of Diabetic Retinopathy (DR), a...
AIMS/INTRODUCTION: Gestational diabetes mellitus (GDM) is one of the most frequent pregnancy complications. Investigating clinical risk factors for ad...
OBJECTIVE: This systematic review aimed to systematically evaluate the methodological quality and predictive performance of existing prognostic models...
Erectile dysfunction (ED) is a prevalent complication of both type 1 and type 2 diabetes mellitus (DM), but the shared molecular mechanisms underlying...
In modern dairy production, cattle are routinely exposed to a wide range of management-related, environmental, and biological stressors all of which c...
The complex interdependence between cancer and diabetes has become a major subject of research in molecular medicine since multiple data points indica...
Bisphenol A (BPA), a ubiquitous environmental endocrine-disrupting chemical extensively used in plastic products, has been increasingly recognized for...
Patients with diabetic kidney disease (DKD) at chronic kidney disease (CKD) stages 3 to 4 are at high risk for rapid renal function decline within 1 y...
BACKGROUND: Cardiovascular-kidney-metabolic (CKM) syndrome refers to the co-occurrence of obesity, diabetes, chronic kidney disease (CKD), and cardiov...
Maintaining consistent quality in the manufacturing of biotherapeutic proteins in mammalian cell culture is challenging, with unplanned deviations cau...
Although significant progress has been achieved in diagnosing papillary thyroid carcinoma (PTC), it remains a challenge to diagnose thyroid nodules (T...
AIM: To evaluate a real-world clinical integration of an autonomous artificial intelligence (AI) system (AEYE Diagnostic Screening (AEYE-DS), AEYE Hea...
PURPOSE: To evaluate the diagnostic performance of a regulatory-approved (CE-marked) artificial intelligence system (RetCAD) applied to nonmydriatic c...
Ultrasound image segmentation plays an important role in clinical diagnosis, but existing deep learning methods struggle to balance accuracy and effic...
Gestational diabetes mellitus (GDM) can elevate the likelihood of developing high blood pressure during pregnancy. It is one of the most common compli...
OBJECTIVES: This study aimed to systematically evaluate whether glycemic variability (GV) could provide independent incremental prognostic value for i...
RATIONALE AND OBJECTIVE: Anaplastic thyroid carcinoma (ATC) may arise from the progression of differentiated thyroid cancers, but the mechanisms are n...