Endocrinology

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

4,956 articles
Stay Ahead - Weekly Endocrinology research updates
Subscribe
Browse Specialties
Showing 85-105 of 4,956 articles
Machine Learning-Based Screening of Cosmetic Ingredients Identifies Vat Blue 6 as a Thyroid Hormone Receptor β Disruptor.

Thyroid disorders are among the most prevalent endocrine conditions worldwide, exhibiting a rising i...

Artificial intelligence-based diabetes risk prediction from longitudinal DXA bone measurements.

Diabetes mellitus (DM) is a serious global health concern that poses a significant threat to human l...

Enhancing pathological feature discrimination in diabetic retinopathy multi-classification with self-paced progressive multi-scale training.

Diabetic retinopathy (DR) is a common diabetes complication that presents significant diagnostic cha...

Deep phenotyping of health-disease continuum in the Human Phenotype Project.

The Human Phenotype Project (HPP) is a large-scale deep-phenotype prospective cohort. To date, appro...

Postoperative complication severity prediction in penile prosthesis implantation: a machine learning-based predictive modeling study.

Prediction of postoperative complications is crucial in surgical care, particularly for penile prost...

BertADP: a fine-tuned protein language model for anti-diabetic peptide prediction.

BACKGROUND: Diabetes is a global metabolic disease that urgently calls for the development of new an...

Artificial intelligence-augmented ultrasound diagnosis of follicular-patterned thyroid neoplasms: a multicenter retrospective study.

BACKGROUND: Conventional diagnostic tools, including ultrasound, fine-needle aspiration cytology, an...

Accurate and real-time brain tumour detection and classification using optimized YOLOv5 architecture.

The brain tumours originate in the brain or its surrounding structures, such as the pituitary and pi...

Prediabetes phenotypes: can aetiology and risk profile guide lifestyle strategies for diabetes prevention?

INTRODUCTION: Type 2 diabetes (T2D) continues to worsen globally alongside rise in obesity. Asymptom...

Integrating Artificial Intelligence in Thyroid Nodule Management: Clinical Outcomes and Cost-Effectiveness Analysis.

OBJECTIVE: The increasing incidence of thyroid nodules (TN) raises concerns about overdiagnosis and ...

Modification and applications of glucose oxidase: optimization strategies and high-throughput screening technologies.

Glucose oxidase (GOD), an oxidoreductase (EC 1.1.3.4), catalyzes the oxidation of β-D-glucose to glu...

Identification and validation of epithelial‑mesenchymal transition‑related genes for diabetic nephropathy by WGCNA and machine learning.

Diabetic nephropathy (DN) is the main cause of end‑stage renal disease, with epithelial‑mesenchymal ...

Size-Specific Predictors for Malignancy Risk in Follicular Thyroid Neoplasms: Machine Learning Analysis.

BACKGROUND: Surgeons often face challenges in distinguishing between benign and malignant follicular...

Diagnostic immune-related markers for diabetic kidney disease: a bioinformatics and machine learning approach.

OBJECTIVE: Diabetic kidney disease (DKD) is a leading cause of chronic kidney disease, with chronic ...

Multiparametric ultrasound techniques are superior to AI-assisted ultrasound for assessment of solid thyroid nodules: a prospective study.

OBJECTIVES: To evaluate the diagnostic performance of multiparametric ultrasound (mpUS) and AI-assis...

Diabetic retinopathy detection using adaptive deep convolutional neural networks on fundus images.

Diabetic retinopathy (DR) is an age-related macular degeneration eye disease problem that causes pat...

Exploring graph-based models for predicting active compounds against triple-negative breast cancer.

Breast cancer is among the most dominant and rapidly rising cancers, both in India and around the wo...

Browse Specialties