ESTRO 2025 - Abstract Book

S2417

Interdisciplinary – Other

ESTRO 2025

Conclusion Framework development for healthcare AI is dominated by HICs, with minimal contributions from LMICs and none from LICs. Gender disparities persist, particularly in senior authorship, and funding is primarily public. These findings highlight the need for inclusive global research collaboration to promote equity. Keywords: AI, Reporting Guidelines, Artificial Intelligence References 1. Ueda D, Kakinuma T, Fujita S, Kamagata K, Fushimi Y, Ito R, et al. Fairness of artificial intelligence in healthcare: review and recommendations. Jpn J Radiol 2024;42:3–15. https://doi.org/10.1007/s11604-023-01474-3. 2. Kawamura M, Kamomae T, Yanagawa M, Kamagata K, Fujita S, Ueda D, et al. Revolutionizing radiation therapy: the role of AI in clinical practice. Journal of Radiation Research 2024;65:1–9. https://doi.org/10.1093/jrr/rrad090.

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Digital Poster Radonek - Fine-Tuned GPT-4o for Radiation Oncology Patient Support: Preliminary Evaluation and Protocol for Prospective Validation Konrad Stawiski, Aleksander Rycerz, Jacek Burzyński, Kuna Kasper, Wojciech Fendler Department of Biostatistics and Translational Medicine, Medical University od Lodz, Lodz, Poland

Purpose/Objective