Endocrinology

Osteoporosis

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

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AI-Assisted Label-Free Monitoring Bone Mineral Metabolism on Demineralized Bone Paper.

Effective drug development for bone-related diseases, such as osteoporosis and metastasis, is hinder...

Predictive modelling of knee osteoporosis.

OBJECTIVE: The objective of this research was to develop a machine learning-based predictive model f...

Genetically encoded sensors illuminate detection for neurotransmission: Development, application, and optimization strategies.

Limitations in existing tools have hindered neuroscientists from achieving a deeper understanding of...

Advanced SERSome-based artificial-intelligence technology for identifying medicinal and edible homologs.

Medicinal and edible homologs (MEHs) offer significant preventive and therapeutic benefits for vario...

Automated Fast Prediction of Bone Mineral Density From Low-dose Computed Tomography.

BACKGROUND: Low-dose chest CT (LDCT) is commonly employed for the early screening of lung cancer. Ho...

Deep learning-based evaluation of panoramic radiographs for osteoporosis screening: a systematic review and meta-analysis.

BACKGROUND: Osteoporosis is a complex condition that drives research into its causes, diagnosis, tre...

Deep learning based automatic quantification of aortic valve calcification on contrast enhanced coronary CT angiography.

Quantifying aortic valve calcification is critical for assessing the severity of aortic stenosis, pr...

PrOsteoporosis: predicting osteoporosis risk using NHANES data and machine learning approach.

OBJECTIVES: Osteoporosis, prevalent among the elderly population, is primarily diagnosed through bon...

Can some algorithms of machine learning identify osteoporosis patients after training and testing some clinical information about patients?

OBJECTIVE: This study was designed to establish a diagnostic model for osteoporosis by collecting cl...

Using statistical modelling and machine learning in detecting bone properties: A systematic review protocol.

INTRODUCTION: Osteoporosis, a common condition characterised by decreased bone mass and microarchite...

Precision soil sampling strategy for the delineation of management zones in olive cultivation using unsupervised machine learning methods.

Climate change and environmental degradation pose a significant threat to the global community. Soil...

Ensemble-learning approach improves fracture prediction using genomic and phenotypic data.

UNLABELLED: This study presents an innovative ensemble machine learning model integrating genomic an...

AI integrations with lung cancer screening: Considerations in developing AI in a public health setting.

Lung cancer screening implementation has led to expanded imaging of the chest in older, tobacco-expo...

Living Microalgae-Based Magnetic Microrobots for Calcium Overload and Photodynamic Synergetic Cancer Therapy.

The combination of Ca overload and reactive oxygen species (ROS) production for cancer therapy offer...

GLASSR-Net: Glass Substrate Spectral Restoration Neural Network for Fourier Transform Infrared Microspectroscopy in the Fingerprint Region.

Fourier transform infrared (FTIR) microspectroscopy has emerged as a pivotal pathological tool, offe...

Large Model Era: Deep Learning in Osteoporosis Drug Discovery.

Osteoporosis is a systemic microstructural degradation of bone tissue, often accompanied by fracture...

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