Background Patients with fractures are a common emergency presentation and may be
misdiagnosed at radiologic imaging. An increasing number of studies apply artificial …

Osteoporosis and its clinical consequence, bone fracture, is a multifactorial disease that has
been the object of extensive research. Recent advances in machine learning (ML) have …

Vertebral fractures are independent risk factors for vertebral and nonvertebral fractures.
Since vertebral fractures are often missed, the relatively new introduction of vertebral …

Abstract Purpose of Review Opportunistic screening is a combination of techniques to
identify subjects of high risk for osteoporotic fracture using routine clinical CT scans …

Objectives To investigate whether a deep learning model can predict the bone mineral
density (BMD) of lumbar vertebrae from unenhanced abdominal computed tomography (CT) …

BACKGROUND AND PURPOSE: Multidetector CT has emerged as the standard of care
imaging technique to evaluate cervical spine trauma. Our aim was to evaluate the …

Background Since image-based fracture prediction models using deep learning are lacking,
we aimed to develop an X-ray-based fracture prediction model using deep learning with …

There have been many recently published studies exploring machine learning (ML) and
deep learning applications within neuroradiology. The improvement in performance of these …

Deep learning models have shown great promise in diagnosing skeletal fractures from X-ray
images. However, challenges remain that hinder progress in this field. Firstly, a lack of clear …

Abstract Background AI/ML CAD tools can potentially improve outcomes in the high-stakes,
high-volume model of trauma radiology. No prior sco** review has been undertaken to …