ESTRO 2025 - Abstract Book

S2415

Interdisciplinary – Other

ESTRO 2025

Conclusion These findings highlight the dynamic nature of radiation oncology research and associated gaps, emphasizing the importance of global effort to address regional disparities, to test novel technology and drug-radiotherapy combinations in phase I trials and to conduct phase III trials to translate promising therapies into clinical practice, and to increase efforts to obtain industry funding.

Keywords: Clinical trials, Rad Onc, Scientific Progress

References 1. Chandra RA, Keane FK, Voncken FEM, Thomas CR. Contemporary radiotherapy: present and future. Lancet [Internet]. 2021;398(10295):171–84. Available from: http://dx.doi.org/10.1016/S0140-6736(21)00233-6 2. Barton MB, Jacob S, Shafiq J, Wong K, Thompson SR, Hanna TP, et al. Estimating the demand for radiotherapy from the evidence: A review of changes from 2003 to 2012. Radiother Oncol [Internet]. 2014;112(1):140–4. Available from: http://dx.doi.org/10.1016/j.radonc.2014.03.024

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Digital Poster Appraising and Reporting AI Research: A Bibliometric Analysis of Available Frameworks Raphael I Mourad Santos 1 , Fernanda Malucelli Favorito 1 , Adrienn Goczi-Bourkas 2 , Alireza Mansouri 3 , Fabio Y Moraes 4,5 1 Medicina, Faculdade de Ciências Médicas da Santa Casa de São Paulo, São Paulo, Brazil. 2 School of Medicine, Queen’s University, Kingston, Canada. 3 Penn State Cancer Institute, Hershey Medical Center, Hershey, USA. 4 Department of Oncology, Queen’s University, Kingston, Canada. 5 Division of Cancer Care and Epidemiology, Sinclair Cancer Research Institute, Kingston, Canada Purpose/Objective AI integration in healthcare demands diverse representation to ensure fairness and global relevance 1 , particularly for specialties like Radiation Oncology, where AI increasingly drives precision in treatment planning and imaging 2 .