AIMC Topic: Osteoporosis
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Diagnostic accuracy of chest X-ray and CT using artificial intelligence for osteoporosis: systematic review and meta-analysis.
Journal of bone and mineral metabolism
Aug 21, 2024
INTRODUCTION: Artificial intelligence (AI)-based systems using chest images are potentially reliable for diagnosing osteoporosis.
Preventive machine learning models incorporating health checkup data and hair mineral analysis for low bone mass identification.
Scientific reports
Aug 13, 2024
Machine learning (ML) models have been increasingly employed to predict osteoporosis. However, the incorporation of hair minerals into ML models remains unexplored. This study aimed to develop ML models for predicting low bone mass (LBM) using health...
Comparative analysis of vision transformers and convolutional neural networks in osteoporosis detection from X-ray images.
Scientific reports
Aug 3, 2024
Within the scope of this investigation, we carried out experiments to investigate the potential of the Vision Transformer (ViT) in the field of medical image analysis. The diagnosis of osteoporosis through inspection of X-ray radio-images is a substa...
Artificial intelligence-enhanced opportunistic screening of osteoporosis in CT scan: a scoping Review.
Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA
Jul 10, 2024
PURPOSE: This scoping review aimed to assess the current research on artificial intelligence (AI)--enhanced opportunistic screening approaches for stratifying osteoporosis and osteopenia risk by evaluating vertebral trabecular bone structure in CT sc...
Classification of osteoarthritic and healthy cartilage using deep learning with Raman spectra.
Scientific reports
Jul 10, 2024
Raman spectroscopy is a rapid method for analysing the molecular composition of biological material. However, noise contamination in the spectral data necessitates careful pre-processing prior to analysis. Here we propose an end-to-end Convolutional ...
Identifying factors associated with locomotive syndrome using machine learning methods: The third survey of the research on osteoarthritis/osteoporosis against disability study.
Geriatrics & gerontology international
Jun 29, 2024
AIM: To identify factors associated with locomotive syndrome (LS) using medical questionnaire data and machine learning.
The potential role for artificial intelligence in fracture risk prediction.
The lancet. Diabetes & endocrinology
Jun 25, 2024
Osteoporotic fractures are a major health challenge in older adults. Despite the availability of safe and effective therapies for osteoporosis, these therapies are underused in individuals at high risk for fracture, calling for better case-finding an...
Deep learning for osteoporosis screening using an anteroposterior hip radiograph image.
European journal of orthopaedic surgery & traumatology : orthopedie traumatologie
Jun 19, 2024
PURPOSE: Osteoporosis is a common bone disorder characterized by decreased bone mineral density (BMD) and increased bone fragility, which can lead to fractures and eventually cause morbidity and mortality. It is of great concern that the one-year mor...
Prediction of subsequent fragility fractures: application of machine learning.
BMC musculoskeletal disorders
Jun 4, 2024
BACKGROUND: Machine learning (ML) has shown exceptional promise in various domains of medical research. However, its application in predicting subsequent fragility fractures is still largely unknown. In this study, we aim to evaluate the predictive p...
A comprehensive approach for osteoporosis detection through chest CT analysis and bone turnover markers: harnessing radiomics and deep learning techniques.
Frontiers in endocrinology
Jun 4, 2024
PURPOSE: The main objective of this study is to assess the possibility of using radiomics, deep learning, and transfer learning methods for the analysis of chest CT scans. An additional aim is to combine these techniques with bone turnover markers to...
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