As the cognition of spine develops, deep learning (DL) emerges as a powerful tool with
tremendous potential for advancing research in this field. To provide a comprehensive …

(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 …

Osteoporotic vertebral fracture (OVF) is a risk factor for morbidity and mortality in elderly
population, and accurate diagnosis is important for improving treatment outcomes. OVF …

Although the number of patients with osteoporosis is increasing worldwide, diagnosis and
treatment are presently inadequate. In this study, we developed a deep learning model to …

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 …

The first seven vertebrae of our spine are called the cervical spine. It supports the weight of
our head, encloses and safeguards our spinal cord, and permits a variety of head motions …

Pelvic fracture is a severe trauma with life-threatening implications. Surgical reduction is
essential for restoring the anatomical structure and functional integrity of the pelvis, requiring …

Background: This study aimed to validate the application of CT texture analysis in estimating
Bone Mineral Density (BMD) in patients with Type 2 Diabetes (T2D) and comparing it with …

Image regression tasks for medical applications, such as bone mineral density (BMD)
estimation and left-ventricular ejection fraction (LVEF) prediction, play an important role in …

Deep regression is an important problem with numerous applications. These range from
computer vision tasks such as age estimation from photographs, to medical tasks such as …