@Radiology_AI

"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. To construct and evaluate the efficacy of a deep learning system to rapidly and automatically locate six vertebral landmarks, which are used to measure vertebral body heights, and to output spine angle measurements (lumbar lordosis angle) across multiple modalities. In this retrospective study, MRI (n 1123), CT (n 137), and radiography (n 484) images were used from a wide variety of patient populations, ages, disease stages, bone densities, and interventions (n 1744 total patients, 64 8 years, 76.8% women; 2005–2020).