Using AI text-to-image generation to create novel illustrations for Medical Education: Proof of concept by generating an image of Horner’s syndrome. (Preprint)

Abstract

Medical illustration plays an important part in medical education yet can be limited by availability of medical photographs and by understandable concerns regarding confidentiality. We explored the potential of artificial intelligence (AI) text-to-image generation as an alternative means of providing high-quality medical images without these limitations. We describe a proof-of-concept generation of a novel image of Horner’s syndrome in this article and consider the potential of this technique in medical education.