"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 develop, test, and validate a deep learning (DL) tool that improves upon a previous feature-based CT image processing bone mineral density (BMD) algorithm and compare it against the manual reference standard. This single-center, retrospective study included manual L1 trabecular Hounsfield unit (HU) measurements from abdominal CT scans of 11,035 patients (mean age, 58 [SD] 12 years; 6311 women) as the reference standard.