"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 design multidisease classifiers for body CT scans for three different organ systems using automatically extracted labels from radiology text reports. This retrospective study included a total of 12,092 patients (mean age 57 18; 6,172 women) for model development and testing (from 2012–2017).