Purpose Osteoporotic vertebral compression fractures (OVCFs) are a highly prevalent
source of morbidity and mortality, and preventive treatment has been demonstrated to be …

Rationale and Objectives Osteoporosis affects 9% of individuals over 50 in the United States
and 200 million women globally. Spinal osteoporotic compression fractures (OCFs), an …

Rationale and Objectives Spinal osteoporotic compression fractures (OCFs) can be an early
biomarker for osteoporosis but are often subtle, incidental, and underreported. To ensure …

Vertebral compression fractures (VCF) are common in patients older than 50 years but are
often undiagnosed. Zebra Medical Imaging developed a VCF detection algorithm, with …

Objectives: To develop an opportunistic screening model based on a deep learning
algorithm to detect recent vertebral fractures in abdominal or chest CTs. Materials and …

Osteoporosis is underdiagnosed and undertreated, leading to loss of treatment for the
patient and high costs for the health care system. Routine thoracic and/or abdominal …

Abstract Summary The Convolutional Neural Network algorithm achieved a sensitivity of
94% and specificity of 93% in identifying scans with vertebral fractures (VFs). The external …

PurposeArtificial intelligence (AI) software can improve osteoporosis (OP) detection rates by
analyzing computed tomography (CT) images and opportunistically identifying vertebral …

Osteoporosis is a common, but silent disease until it is complicated by fractures that are
associated with morbidity and mortality. Over the past few years, although deep learning …

Methods This PhD-project was designed as an observational cohort study in men and
women aged 50 yearsor older. From the Holbæk Hospital radiology database we identified …