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Derangements of septum posticum may present a spectrum of findings that should be considered in the differential of thoracic myelopathy. Flattening of the posterior cord margin is a reliable imaging clue for a dorsal extra-medullary compressive lesion. Cord compression results from combination of adhesive membranes and turbulent CSF flow. The clinical course may be difficult to predict. Periodic imaging follow up can be helpful to confirm stability of findings in expectantly managed cases.

Artificial Intelligence, Machine Learning, and myriad related techniques are becoming ever more commonplace throughout industry and society, and radiology is by no means an exception. It is essential for every radiologists of every subspecialty to gain familiarity and confidence with these techniques as they become increasingly incorporated into the routine practice in both academic and private practice settings. In this article, we provide a brief review of several definitions and techniques that are commonly used in AI, and in particular machine vision, and examples of how they are currently being applied to the setting of clinical neuroradiology. We then review the unique challenges that the adoption and application of faces within the subspecialty of pediatric neuroradiology, and how these obstacles may be overcome. We conclude by presenting specific examples of how AI is currently being applied within the field of pediatric neuroradiology and the potential opportunities that are available for future applications.