Endocrinology

Latest AI and machine learning research in endocrinology for healthcare professionals.

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Type 2 Diabetes Subtyping via Phenotype and Genotype Co-Learning.

Interpreting and subtyping type 2 diabetes (T2D) is challenging yet essential for achieving fine-gra...

Comparing Deterministic and Stochastic Reinforcement Learning for Glucose Regulation in Type 1 Diabetes.

Type 1 Diabetes (T1D) is a chronic condition affecting millions worldwide, requiring external insuli...

Predicting Diabetes Using Convolutional Neural Networks and EKG Entropy Analysis.

Heart Rate Variability (HRV) is associated with diabetic complications. This analysis can quantify c...

Predicting Nephrectomy Risk in Patients with Renal Cancer Using Real-World Electronic Health Records.

Nephrectomy, the surgical removal of a kidney, is a critical treatment for renal cancer, and predict...

LGF-Net: A multi-scale feature fusion network for thyroid nodule ultrasound image classification.

BACKGROUND: Thyroid cancer is one of the most common cancers in clinical practice, and accurate clas...

Prediction Model for Insulin Resistance and Implications for MASLD in Youth: A Novel Marker, the Pediatric Insulin Resistance Assessment Score.

PURPOSE: Insulin resistance (IR) is a condition closely associated with cardiovascular risk factors ...

[Artificial intelligence in preventive medicine for children and adolescents-applications and acceptance].

The use of artificial intelligence (AI) in pediatric and adolescent medicine offers numerous possibi...

From Guidelines to Intelligence: How AI Refines Thyroid Nodule Biopsy Decisions.

OBJECTIVE: To evaluate the value of combining American College of Radiology (ACR) Thyroid Imaging Re...

Mechanistic exploration of hexokinase 2 and metabolism in diabetic cardiomyopathy.

The pathogenesis of diabetic cardiomyopathy (DCM) remains incompletely understood. The present study...

Discovery of novel potential 11β-HSD1 inhibitors through combining deep learning, molecular modeling, and bio-evaluation.

11β-Hydroxysteroid dehydrogenase type 1 (11β-HSD1) has been shown to play an important role in the t...

Infrared and Raman spectroscopy of blood plasma for rapid endometrial cancer detection.

BACKGROUND: Endometrial cancer (EC) is the 6th most common cancer among women worldwide. No effectiv...

The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetes.

BACKGROUND AND OBJECTIVE: Diabetes is a chronic disease characterised by a high risk of developing d...

Diagnosis of thyroid cartilage invasion by laryngeal and hypopharyngeal cancers based on CT with deep learning.

OBJECTIVES: To develop a convolutional neural network (CNN) model to diagnose thyroid cartilage inva...

Evaluating prediction of short-term tolerability of five type 2 diabetes drug classes using routine clinical features: UK population-based study.

AIMS: A precision medicine approach in type 2 diabetes (T2D) needs to consider potential treatment r...

Effectiveness of AI-driven interventions in glycemic control: A systematic review and meta-analysis of randomized controlled trials.

This systematic review aims to assess the effectiveness of AI-Driven Decision Support Systems in imp...

Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach.

Chronic kidney disease (CKD) poses a significant risk for diabetes patients, often leading to severe...

Nutritionally Responsive PMv DAT Neurons Are Dynamically Regulated During Pubertal Transition.

Pubertal development is tightly regulated by energy balance. The crosstalk between metabolism and re...

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