Diagnostic Accuracy of Deep Learning for the Prediction of Osteoporosis Using Plain X-rays: A Systematic Review and Meta-Analysis
(1) Background: This meta-analysis assessed the diagnostic accuracy of deep learning
model-based osteoporosis prediction using plain X-ray images.(2) Methods: We searched …
model-based osteoporosis prediction using plain X-ray images.(2) Methods: We searched …
Development and reporting of artificial intelligence in osteoporosis management
G Gatineau, E Shevroja, C Vendrami… - Journal of Bone and …, 2024 - academic.oup.com
An abundance of medical data and enhanced computational power have led to a surge in
artificial intelligence (AI) applications. Published studies involving AI in bone and …
artificial intelligence (AI) applications. Published studies involving AI in bone and …
Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography
Osteoporosis is a prevalent bone disease that causes fractures in fragile bones, leading to a
decline in daily living activities. Dual-energy X-ray absorptiometry (DXA) and quantitative …
decline in daily living activities. Dual-energy X-ray absorptiometry (DXA) and quantitative …
Detection of developmental dysplasia of the hip in X-ray images using deep transfer learning
Background Developmental dysplasia of the hip (DDH) is a relatively common disorder in
newborns, with a reported prevalence of 1–5 per 1000 births. It can lead to developmental …
newborns, with a reported prevalence of 1–5 per 1000 births. It can lead to developmental …
Deep‐learning‐based detection of vertebral fracture and osteoporosis using lateral spine X‐ray radiography
N Hong, SW Cho, S Shin, S Lee… - Journal of Bone and …, 2020 - academic.oup.com
Osteoporosis and vertebral fractures (VFs) remain underdiagnosed. The addition of deep
learning methods to lateral spine radiography (a simple, widely available, low‐cost test) can …
learning methods to lateral spine radiography (a simple, widely available, low‐cost test) can …
BMD-GAN: Bone mineral density estimation using X-ray image decomposition into projections of bone-segmented quantitative computed tomography using …
We propose a method for estimating the bone mineral density (BMD) from a plain x-ray
image. Dual-energy X-ray absorptiometry (DXA) and quantitative computed tomography …
image. Dual-energy X-ray absorptiometry (DXA) and quantitative computed tomography …
Opportunistic screening of low bone mineral density from standard x-rays
Background Osteoporosis, characterized by loss of bone mineral density (BMD), is
underscreened. Osteoporosis and low bone mass are diagnosed by a BMD T-score≤–2.5 …
underscreened. Osteoporosis and low bone mass are diagnosed by a BMD T-score≤–2.5 …
A few-shot learning framework for the diagnosis of osteopenia and osteoporosis using knee X-ray images
H Xie, C Gu, W Zhang, J Zhu, J He… - Journal of …, 2024 - journals.sagepub.com
Objective We developed a few-shot learning (FSL) framework for the diagnosis of
osteopenia and osteoporosis in knee X-ray images. Methods Computer vision models …
osteopenia and osteoporosis in knee X-ray images. Methods Computer vision models …
HarDNet-based deep learning model for osteoporosis screening and bone mineral density inference from hand radiographs
Purpose Osteoporosis, affecting over 200 million individuals, often remains unrecognized
and untreated, increasing the risk of fractures in older adults. Osteoporosis is typically …
and untreated, increasing the risk of fractures in older adults. Osteoporosis is typically …
Predicting osteoporosis from kidney-ureter-bladder radiographs utilizing deep convolutional neural networks
Osteoporosis is a common condition that can lead to fractures, mobility issues, and death.
Although dual-energy X-ray absorptiometry (DXA) is the gold standard for osteoporosis, it is …
Although dual-energy X-ray absorptiometry (DXA) is the gold standard for osteoporosis, it is …