%0 Journal Article
%@ 2369-3762
%I JMIR Publications
%V 10
%N 
%P e52155
%T Using AI Text-to-Image Generation to Create Novel Illustrations for Medical Education: Current Limitations as Illustrated by Hypothyroidism and Horner Syndrome
%A Kumar,Ajay
%A Burr,Pierce
%A Young,Tim Michael
%+ Queen Square Institute of Neurology, University College London, Number 7 Queen Square, London, WC1N 3BG, United Kingdom, 44 2031082781, t.young@ucl.ac.uk
%K artificial intelligence
%K AI
%K medical illustration
%K medical images
%K medical education
%K image
%K images
%K illustration
%K illustrations
%K photo
%K photos
%K photographs
%K face
%K facial
%K paralysis
%K photograph
%K photography
%K Horner's syndrome
%K Horner syndrome
%K Bernard syndrome
%K Bernard's syndrome
%K miosis
%K oculosympathetic
%K ptosis
%K ophthalmoplegia
%K nervous system
%K autonomic
%K eye
%K eyes
%K pupil
%K pupils
%K neurologic
%K neurological
%D 2024
%7 22.2.2024
%9 Research Letter
%J JMIR Med Educ
%G English
%X Our research letter investigates the potential, as well as the current limitations, of widely available text-to-image tools in generating images for medical education. We focused on illustrations of important physical signs in the face (for which confidentiality issues in conventional patient photograph use may be a particular concern) that medics should know about, and we used facial images of hypothyroidism and Horner syndrome as examples.
%M 38386400
%R 10.2196/52155
%U https://mededu.jmir.org/2024/1/e52155
%U https://doi.org/10.2196/52155
%U http://www.ncbi.nlm.nih.gov/pubmed/38386400