ESTRO 2024 - Abstract Book

S2860

Interdisciplinary - Health economics & health services research

ESTRO 2024

[5] S. Reddy, S. Allan, S. Coghlan, and P. Cooper, “A governance model for the application of AI in health care,” J. Am. Med. Inform. Assoc., vol. 27, no. 3, pp. 491 – 497, Mar. 2020, doi: 10.1093/jamia/ocz192.

[6] C. L. Brouwer et al., “Machine learning applications in radiation oncology: Current use and needs to support clinical implementation,” Phys. Imaging Radiat. Oncol., vol. 16, pp. 144– 148, Oct. 2020, doi: 10.1016/j.phro.2020.11.002.

[7] B. H. Kann, A. Hosny, and H. J. W. L. Aerts, “Artificial intelligence for clinical oncology,” Cancer Cell, vol. 39, no. 7, pp. 916 – 927, Jul. 2021, doi: 10.1016/j.ccell.2021.04.002.

[8] E. Huynh et al., “Artificial intelligence in radiation oncology,” Nat. Rev. Clin. Oncol., vol. 17, no. 12, pp. 771– 781, Dec. 2020, doi: 10.1038/s41571-020-0417-8.

[9] W. Fan, J. Liu, S. Zhu, and P. M. Pardalos, “Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence- based medical diagnosis support system (AIMDSS),” Ann. Oper. Res., vol. 294, no. 1, pp. 567 – 592, Nov. 2020, doi: 10.1007/s10479-018-2818-y. [10] E. Solberg, M. Kaarstad, M. H. R. Eitrheim, R. Bisio, K. Reegård, and M. Bloch, “A Conceptual Model of Trust, Perceived Risk, and Reliance on AI Decision Aids,” Group Organ. Manag., vol. 47, no. 2, pp. 187– 222, Apr. 2022, doi: 10.1177/10596011221081238. [11] M. Maadi, H. Akbarzadeh Khorshidi, and U. Aickelin, “A Review on Human -AI Interaction in Machine Learning and Insights for Medical Applications,” Int. J. Environ. Res. Public. Health, vol. 18, no. 4, p. 2121, Feb. 2021, doi: 10.3390/ijerph18042121.

2784

Digital Poster

A Tri-Fellowship Approach at St Lukes Radiation Oncology Network (SLRON)

Samantha J Ryan 1 , Ciaran Malone 2 , Jill Nicholson 1

1 St Lukes Radiation Oncology Network, Radiotherapy, Dublin, Ireland. 2 St Lukes Radiation Oncology Network, Physics, Dublin, Ireland

Purpose/Objective:

The simultaneous introduction of a Radiation Oncology Fellow, Radiation Therapy Fellow, and Physics Fellow at SLRON has significantly improved our project timelines and clinical application of new technologies, clinical trials, and research. Notably, 2023 marked the first year a Radiotherapy Fellow joined our team. A collaborative research environment improved communication and knowledge sharing between professionals and led to an increase in efficient patient care and research output. The addition of RTT’s offers an opportunity to build therapist research capacity, providing an additional avenue for professional development in our network.