This paper is in the following e-collection/theme issue:

Research Letter (5) New Methods and Approaches in Medical Education (199) Clinical Information and Decision Making (1340) Imaging Informatics (187) Artificial Intelligence (1215) Machine Learning (1401)

Published on in Vol 10 (2024)

This is a member publication of University College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52155, first published .
Using AI Text-to-Image Generation to Create Novel Illustrations for Medical Education: Current Limitations as Illustrated by Hypothyroidism and Horner Syndrome

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

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

Authors of this article:

Ajay Kumar1 Author Orcid Image ;   Pierce Burr1 Author Orcid Image ;   Tim Michael Young1 Author Orcid Image
Article Authors Cited by (2) Tweetations (6) Metrics

Journals

  1. Ajmera P, Nischal N, Ariyaratne S, Botchu B, Bhamidipaty K, Iyengar K, Ajmera S, Jenko N, Botchu R. Response to: ChatGPT’s limited accuracy in generating anatomical images for medical. Skeletal Radiology 2024;53(8):1597 View
  2. Klug J, Pietsch U. Can artificial intelligence help for scientific illustration? Details matter. Critical Care 2024;28(1) View