1naresh
Array ( [urn:ac.highwire.org:guest:identity] => Array ( [runtime-id] => urn:ac.highwire.org:guest:identity [type] => guest [service-id] => ajnr-ac.highwire.org [access-type] => FreeToRead [privilege] => Array ( [urn:ac.highwire.org:guest:privilege] => Array ( [runtime-id] => urn:ac.highwire.org:guest:privilege [type] => privilege-set [privilege-set] => GUEST ) ) [credentials] => Array ( [method] => guest ) ) ) 1nareshArray ( [urn:ac.highwire.org:guest:identity] => Array ( [runtime-id] => urn:ac.highwire.org:guest:identity [type] => guest [service-id] => ajnr-ac.highwire.org [access-type] => Controlled [privilege] => Array ( [urn:ac.highwire.org:guest:privilege] => Array ( [runtime-id] => urn:ac.highwire.org:guest:privilege [type] => privilege-set [privilege-set] => GUEST ) ) [credentials] => Array ( [method] => guest ) ) ) Perspectives ============ * Alex Lindqwister  [Figure1](http://www.ajnr.org/content/41/10/1759/F1) Title: Dx: Dermoid Cyst. The future of radiology will be profoundly augmented by artificial intelligence; as imaging specialists, it is imperative that we understand how these techniques will enhance our ability to draw meaningful conclusions from studies. As a medical student interested in neuroimaging and machine learning, I came across multiple visually appealing cases. I used a neural network style transfer technique to apply the stylistic motifs of pre-existing art with the cases I read. The rendered image is a sagittal T1 view of a ruptured dermoid cyst merged, with permission from the artist, with *Cat Lover #3* by Marlina Vera. * © 2020 by American Journal of Neuroradiology