Parkar, A.P., Offiah, A.C. orcid.org/0000-0001-8991-5036, Ene, M.-A. et al. (1 more author) (2025) Inequity in imaging: why it matters? A statement from the equity, diversity and inclusion subcommittee of the European Society of Radiology. Insights into Imaging, 16 (1). 263. ISSN: 1869-4101
Abstract
The ESR equity, diversity and inclusivity (EDI) subcommittee is a part of the Young ESR committee created in 2024. This statement paper is the first in our series regarding EDI and radiology. In this paper, we examine and discuss issues which have been studied and reported regarding the inequity of imaging services. Inequity is prevalent in radiology and imaging circles in Europe. The variations observed in women, ethnic, age, disabled, non-binary, and gender groups are examined, as well as the variations in radiology research and in artificial intelligence-related imaging. Radiology departments need to be aware of the existing variations in radiology services. They need to educate their personnel on the etiquette and interaction with diverse populations. There should be versatile equipment to serve patients with disabilities. Radiologists should be aware of the lack of evidence-based knowledge with regard to female and non-white populations. Regarding clinical AI, departments need to actively audit and check for possible biases in AI in clinical use.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| Keywords: | Diversity; Equity; Imaging (AI); Inclusivity; Radiology |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health |
| Date Deposited: | 08 Dec 2025 12:31 |
| Last Modified: | 08 Dec 2025 12:31 |
| Status: | Published |
| Publisher: | Springer Science and Business Media LLC |
| Refereed: | Yes |
| Identification Number: | 10.1186/s13244-025-02144-w |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:235253 |
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Licence: CC-BY 4.0

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