Endocrinology

Osteoporosis

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

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Chest Radiograph-based Artificial Intelligence for Osteoporosis: Accuracy and Associations With Fracture and Mortality.

OBJECTIVES: To evaluate an AI tool for opportunistic osteoporosis screening using chest radiographs ...

Jul 2026 42452786
Integration of metabolomics and machine learning algorithm for discovery of early diagnostic biomarkers of osteoporosis.

BACKGROUND: Osteoporosis (OP) is a prevalent metabolic bone disorder and a major public health conce...

Jul 2026 42448882
Deep Learning Models Capture Umbrella Sampling-Derived Energetic Trends: A Troponin C Case Study.

Deep learning models have transformed several fields lately. In the past, capturing thermodynamic tr...

Jul 2026 42439276
The Role of Artificial Intelligence in Addressing Menopausal Mental Health Challenges.

Menopause marks a crucial transition in a woman's life and is often accompanied by physical and psyc...

Jul 2026 42441881
Artificial intelligence-based calcium scoring using 3D transesophageal echocardiography in aortic stenosis: a pilot study.

BACKGROUND: Aortic valve calcium scoring by computed tomography (CT) is an established method for as...

Jul 2026 42426851
Systematic review of risk prediction models for autogenous arteriovenous fistula dysfunction in maintenance hemodialysis patients.

OBJECTIVE: To systematically evaluate existing risk prediction models for autogenous arteriovenous f...

Jul 2026 42415707
Genotype-Specific Electrophysiological Remodeling in PLN R14del Cardiomyopathy: Implications for Precision Antiarrhythmic Therapy.

BACKGROUND: Inherited PLN (phospholamban) R14del variants cause dilated cardiomyopathy with a high b...

Jul 2026 42417031
Deep Learning-Based Deblurring for Computed Tomography and a Phantom Evaluation for Coronary Artery Calcium Detectability.

INTRODUCTION: This study aimed to develop and evaluate a deep learning (DL) deblurring algorithm for...

Jul 2026 42417480
Automated body composition quantification from non-contrast CT for urolithiasis classification and exploratory incident risk assessment.

To develop a deep learning-based body composition quantification framework from non-contrast CT for ...

Jul 2026 42420441
AI-Driven Advances in Vascular Aging Research: From Mechanisms to Precision Medicine.

Vascular aging is a fundamental contributor to the development of chronic diseases and has emerged a...

Jul 2026 42413700
Prediction of Acromial and Scapular Spine Fractures After Reverse Total Shoulder Arthroplasty using Machine Learning: A Retrospective Cohort Study.

BACKGROUND: Acromial and scapular spine fractures (ASSF) are an uncommon but significant complicatio...

Jul 2026 42398666
Body composition's effect on the bone-vascular axis of osteoporosis discovered in AI-based CT analysis of COPD patients.

OBJECTIVES: This study aimed to investigate the effect of body composition on the inverse relationsh...

Jul 2026 42399449
An explainable machine learning model for predicting one-year osteoporosis risk: development and validation in a prospective cohort.

OBJECTIVE: This study aimed to develop and validate an interpretable machine learning model using re...

Jul 2026 42387470
Comparing conventional correction formulas and machine learning-based prediction of ionized calcium.

BACKGROUND AND AIM: Accurate assessment of ionized calcium (Ca++) is critical in clinical settings b...

Jul 2026 42385972
BHOD: a bone health optimized dietary pattern designed for osteoporosis prevention.

Existing dietary patterns were not specifically designed to target osteoporosis and lack the precisi...

Jul 2026 42386741
Comparative machine learning approaches to prognosticate clinical outcomes in oral and maxillofacial space infections: a retrospective analysis.

BACKGROUND: The objective of this study was to evaluate the performance of multiple machine learning...

Jun 2026 42380843
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