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Accepted for/Published in: JMIR Medical Education

Date Submitted: Aug 24, 2023
Date Accepted: Jan 29, 2024

The final, peer-reviewed published version of this preprint can be found here:

Using AI Text-to-Image Generation to Create Novel Illustrations for Medical Education: Current Limitations as Illustrated by Hypothyroidism and Horner Syndrome

Kumar A, Burr P, Young TM

Using AI Text-to-Image Generation to Create Novel Illustrations for Medical Education: Current Limitations as Illustrated by Hypothyroidism and Horner Syndrome

JMIR Med Educ 2024;10:e52155

DOI: 10.2196/52155

PMID: 38386400

PMCID: 10921331

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

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

  • Ajay Kumar; 
  • Pierce Burr; 
  • Tim Michael Young

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.


 Citation

Please cite as:

Kumar A, Burr P, Young TM

Using AI Text-to-Image Generation to Create Novel Illustrations for Medical Education: Current Limitations as Illustrated by Hypothyroidism and Horner Syndrome

JMIR Med Educ 2024;10:e52155

DOI: 10.2196/52155

PMID: 38386400

PMCID: 10921331

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