Endocrinology

Artificial intelligence-enabled ultrasound diagnosis and stratification of follicular thyroid neoplasms: a multi-center study.

Preoperatively distinguishing follicular thyroid carcinoma (FTC) from follicular thyroid adenoma (FT...

Neurophysiological signatures of rumination's impact on opioid withdrawal severity.

Opioid withdrawal symptoms (OWS) represent a major clinical challenge during abstinence, imposing ph...

Maternal Gut Microbiome as a Predictor of Insulin Therapy Requirement in Gestational Diabetes.

BACKGROUND: Gestational diabetes mellitus (GDM) often requires pharmacological intervention beyond l...

Technology-enabled insights into SLC transporters in MAFLD: redefining the multi-hit pathogenesis and therapeutic landscape.

Recent advances in structural biology, functional genomics, and artificial intelligence (AI) have ex...

Association between fundus sex index and hypertension, diabetes mellitus, and smoking in the Kumejima study.

Fundus parameters can be used to quantify masculinity or femininity as a fundus sex index (FSI) rang...

Pipeline-optimized machine learning for chronic fatigue syndrome diagnosis: A lightweight, interpretable model using blood biochemical and metabolomic data.

INTRODUCTION AND BACKGROUND: Chronic fatigue syndrome (CFS) is a debilitating multisystem disorder w...

Modeling strategies for CGM data: A scoping review of mechanistic, machine learning, and hybrid approaches in diabetes management.

BACKGROUND: The increasing availability of continuous glucose monitoring (CGM) data has opened new a...

Performance of next-generation AI chatbots in gynecological knowledge assessment: a comparative pilot study of ChatGPT-5, Gemini-3, DeepSeek-V3.2, and Claude-4.5-Opus.

PURPOSE: As artificial intelligence (AI) models evolve into their next generations, their applicatio...

METRON: Metabolic Dynamic Perception Kolmogorov-Arnold Network for Biological Age Estimation.

Biological age provides a more direct reflection of physiological status than chronological age, ser...

The value of triglyceride-glucose-body shape index (TyG-ABSI) in evaluating stroke: a multi-centre cross-sectional study.

BACKGROUND: Stroke is the second leading cause of disability and mortality worldwide. A body shape i...

Predicting metabolic syndrome risk in Chinese adults using integrated features of movement behaviors and dietary intake: a machine learning approach.

BACKGROUND: China is undergoing a rapid nutritional and epidemiological transition. Traditional epid...

Volatilomics insights in older adults with diabetes: from metabolic mechanisms to precision geriatric medicine.

AIMS: This review aims to evaluate the hypothesis that Volatilomics-the comprehensive analysis of vo...

Role of Gut Microbiota in Psychiatric Disorders: From Mechanistic Insights to Therapeutic Strategies.

Mental health disorders are a global health challenge, and the underlying biological mechanisms rema...

A predictive model for significant periodontal disease progression: A large-scale cohort study.

BACKGROUND: The progression of periodontitis is challenging to predict. This study aimed to develop ...

Real-World Prospective Validation and Economic Evaluation of Deep Learning- Based Diabetic Retinopathy Detection From Fundus Photographs: A Systematic Review and Meta-analysis.

BACKGROUND: Deep learning (DL) has shown promise in delivering diagnostic and economic benefits for ...

Adverse reactions of PD-1/PD-L1 inhibitors in cancer: FAERS database analysis and protocols to mitigate immune-related events in elderly patients and when using pembrolizumab and atezolizumab.

OBJECTIVE: This study aimed to characterize adverse drug reactions (ADRs) associated with programmed...

Integrated approaches to preventing macrovascular complications in type 2 diabetes mellitus: Advances in secondary prevention.

BACKGROUND: Type 2 diabetes mellitus (T2DM) substantially increases the risk of macrovascular compli...

Retrieval Augmented Generation (RAG) for Evaluating Regulatory Compliance of Drug Information and Clinical Trial Protocols.

The purpose was to evaluate retrieval-augmented generative (RAG) artificial intelligence (AI) method...

Diabetes Spotlight: Martin Myers, MD, PhD-Understanding Metabolism and Glucose Through Neural Networks.

Feasibility of an Augmented Reality Artificial Intelligence Tool for Real-Time Assessment of Thyroid Fine-Needle Aspiration Adequacy.

PURPOSE: To evaluate the feasibility of developing an artificial intelligence application for real-t...

Future-aware blood glucose forecasting using knowledge distillation with transformer-based sequence-to-sequence models.

Accurate blood glucose level (BGL) forecasting is critical for diabetes self-management and clinical...