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Journal of Nuclear Medicine Technology

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Research ArticleSpecial Contribution

Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3

Geoffrey Currie, Johnathan Hewis, Elizabeth Hawk and Eric Rohren
Journal of Nuclear Medicine Technology June 2025, 53 (2) 162-168; DOI: https://doi.org/10.2967/jnmt.124.268359
Geoffrey Currie
1Charles Sturt University, Wagga Wagga, New South Wales, Australia;
2Baylor College of Medicine, Houston, Texas;
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Johnathan Hewis
3Charles Sturt University, Port Macquarie, New South Wales, Australia; and
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Elizabeth Hawk
4Stanford University, Stanford, California
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Eric Rohren
1Charles Sturt University, Wagga Wagga, New South Wales, Australia;
2Baylor College of Medicine, Houston, Texas;
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Article Information

vol. 53 no. 2 162-168
DOI 
https://doi.org/10.2967/jnmt.124.268359
PubMed 
39438058

Published By 
Society of Nuclear Medicine
Print ISSN 
0091-4916
Online ISSN 
1535-5675
History 
  • Received for publication July 4, 2024
  • Accepted for publication September 23, 2024
  • Published online June 4, 2025.

Article Versions

  • previous version (October 22, 2024 - 07:39).
  • You are viewing the most recent version of this article.
Copyright & Usage 
© 2025 by the Society of Nuclear Medicine and Molecular Imaging.

Author Information

  1. Geoffrey Currie1,2,
  2. Johnathan Hewis3,
  3. Elizabeth Hawk4 and
  4. Eric Rohren1,2
  1. 1Charles Sturt University, Wagga Wagga, New South Wales, Australia;
  2. 2Baylor College of Medicine, Houston, Texas;
  3. 3Charles Sturt University, Port Macquarie, New South Wales, Australia; and
  4. 4Stanford University, Stanford, California
  1. For correspondence or reprints, contact Geoffrey Currie (gcurrie{at}csu.edu.au).
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Journal of Nuclear Medicine Technology: 53 (2)
Journal of Nuclear Medicine Technology
Vol. 53, Issue 2
June 1, 2025
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Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3
Geoffrey Currie, Johnathan Hewis, Elizabeth Hawk, Eric Rohren
Journal of Nuclear Medicine Technology Jun 2025, 53 (2) 162-168; DOI: 10.2967/jnmt.124.268359

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Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3
Geoffrey Currie, Johnathan Hewis, Elizabeth Hawk, Eric Rohren
Journal of Nuclear Medicine Technology Jun 2025, 53 (2) 162-168; DOI: 10.2967/jnmt.124.268359
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  • Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 1: Preliminary Evaluation
  • The Impact of the Coronavirus Disease 2019 Pandemic on the Clinical Environment
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Keywords

  • generative artificial intelligence
  • bias
  • diversity
  • nuclear medicine
  • radiology
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