"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 determine the efficacy of deep learning in assessing endotracheal tube (ETT) position on radiographs. Images were split into training (80%, 18368 images), validation (10%, 2296 images), and'internal test' (10%, 2296 images), derived from the same institution as the training data.