ArticleInsights into imaging2025
Inequity in imaging: Why it matters? A statement from the Equity, Diversity and Inclusion Subcommittee of the European Society of Radiology.
Article in Insights into imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
5 authors.
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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. CRITICAL RELEVANCE STATEMENT: Understanding how EDI affects patient care is vital to providing equitable service to all patients. Radiologists should be aware of the lack of evidence-based knowledge regarding female and non-white populations, and be sensibly critical of guidelines which lack proper evidence. KEY POINTS: The workflow of the department should be organised so that all patients are served equitably. Radiologists need to be aware of the lack of evidence-based knowledge about female and non-white populations, and be critical of guidelines which lack proper evidence. Regarding AI, radiologists must actively audit and check for possible biases in AI in clinical use.
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