AIMIROE - Artificial Intelligence in Medical Imaging and Radiation Oncology (MIRO) Education: A European Survey
Author Block: H. G. Erenstein1, R. G. L. Decoster2, J. Menzinga1, N. Stogiannos3, C. Malamateniou3; 1Groningen, Gr/NL, 2Brussels/BE, 3London/UK
Purpose: AI is reshaping Medical Imaging Radiation Oncology (MIRO), but limited awareness and education hinder adoption. This EuSoMII-led study, in collaboration with EFRS, identifies EU-based AI programs for MIRO and aims to centralize them on an accessible platform to support ethical use, compliance, and professional growth.
Methods or Background: A Qualtrics-based electronic survey was developed and piloted with six MIRO-professionals to collect data on European AI course characteristics (e.g. format and delivery, content, and audience target audience). Ethical approval was granted by KU Leuven (Ref: G-2024082214). The survey was disseminated via snowball sampling through social media, and mailing lists of EuSoMII and EFRS between September 16, 2024, and January 16, 2025.
Results or Findings: This study identified 30 MIRO-related AI courses across Europe. Most (55.2%) were offered by universities, with industry and professional bodies contributing 20.7% and 17.2%. Courses targeted radiographers, medical physicists, and radiologists (40–60%), mainly at EQF7 level (42.9%). Most were standalone (76.7%), online (53.3%), and free (43.3%), with nearly half lasting under a week. English was the primary language (76.7%), and 80% were openly accessible.
Conclusion: Short AI courses for MIRO professionals across Europe offer accessible entry points but often lack depth and hands-on experience. Expanding formats, multilingual access, and global inclusivity, especially in low-resource settings, are essential for meaningful, practical, and equitable AI integration.
Limitations: The study used self-reported data and snowball sampling, which may have introduced selection bias and limited course coverage. Conducting the survey in English may have excluded non-English responses and overlooked multilingual offerings. Course details were based on publicly available information, and rapid changes in AI education may affect the relevance of findings.
Funding for this study: No external funding was received for this study.
Has your study been approved by an ethics committee? Yes
Ethics committee - additional information: Ethical approval was granted by KU Leuven (Ref: G-2024082214)