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

Viewpoints and Perspectives (437) Medical imaging (6) Artificial Intelligence (909) Theme Issue: ChatGPT and Generative Language Models in Medical Education (31)

Published on in Vol 25 (2023)

This is a member publication of Charite - Universitaetsmedizin Berlin, Medizinische Bibliothek, Germany

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43110, first published .
What Does DALL-E 2 Know About Radiology?

What Does DALL-E 2 Know About Radiology?

What Does DALL-E 2 Know About Radiology?

Authors of this article:

Lisa C Adams 1, 2 Author Orcid Image ;   Felix Busch 1 Author Orcid Image ;   Daniel Truhn 3 Author Orcid Image ;   Marcus R Makowski 4 Author Orcid Image ;   Hugo J W L Aerts 5, 6 Author Orcid Image ;   Keno K Bressem 1, 5, 6 Author Orcid Image
Article Authors Cited by (5) Tweetations (17) Metrics

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  2. Ali R, Tang O, Connolly I, Abdulrazeq H, Mirza F, Lim R, Johnston B, Groff M, Williamson T, Svokos K, Libby T, Shin J, Gokaslan Z, Doberstein C, Zou J, Asaad W. Demographic Representation in 3 Leading Artificial Intelligence Text-to-Image Generators. JAMA Surgery 2023 View
  3. Choudhry H, Toor U, Sanchez A, Mian S. Perception of Race and Sex Diversity in Ophthalmology by Artificial Intelligence: A DALL E-2 Study. Clinical Ophthalmology 2023;Volume 17:2889 View
  4. Noel G. Evaluating AI‐powered text‐to‐image generators for anatomical illustration: A comparative study. Anatomical Sciences Education 2023 View
  5. Zhang P, Kamel Boulos M. Generative AI in Medicine and Healthcare: Promises, Opportunities and Challenges. Future Internet 2023;15(9):286 View