ESTRO 2024 - Abstract Book

S5665

RTT - Patient experience and quality of life

ESTRO 2024

Participants identified that they wished to be informed about AI in their radiotherapy before consenting, although they also reported that successful treatment over-rode most other issues. This finding correlates with another study involving patients(6), but markedly contrasts with the reported feelings of radiographers who felt patients should not be given the choice(3). But this raises questions about whether patients could sufficiently understand AI throughout the radiotherapy pathway to make an informed choice regarding consent. There is every indication that AI systems will rapidly become routine making “opting-out” impossible.

Conclusion:

Participants in this qualitative study supported the use of AI to increase accuracy and speed of diagnosis while emphasising the importance of maintaining patient-clinician interactions. The group agreed that AI should be used as a tool and expressed the need for AI implementation to be cautious and for patients to be involved in decisions relating to this.

Keywords: Artificial intelligence, patient, radiotherapy

References:

1. Thompson RF, Valdes G, Fuller CD, Carpenter CM, Morin O, Aneja S, et al. Artificial Intelligence in Radiation Oncology: A Specialty-Wide Disruptive Transformation? Radiotherapy and Oncology. 2018;129(3):421-6.

2. Korreman S, Eriksen JG, Grau C. The Changing Role of Radiation Oncology Professionals in A World of AI – Just Jobs Lost – Or A Solution to the Under-Provision of Radiotherapy? Clinical and Translational Radiation Oncology. 2021;26:104-7.

3. Ryan ML, O'Donovan T, McNulty JP. Artificial Intelligence: The Opinions of Radiographers and Radiation Therapists in Ireland. Radiography. 2021;27:S74-S82.

4. Wong K, Gallant F, Szumacher E. Perceptions of Canadian Radiation Oncologists, Radiation Physicists, Radiation Therapists and Radiation Trainees About the Impact of Artificial Intelligence in Radiation Oncology – National Survey. Journal of Medical Imaging and Radiation Sciences. 2021;52(1):44-8.

5. Temple S, Rowbottom C, Simpson J. Patient views on the implementation of artificial intelligence in radiotherapy. Radiography 2023; 29(S1): S112-6

6. Richardson JP, Smith C, Curtis S, Watson S, Zhu X, Barry B, et al. Patient Apprehensions About the Use of Artificial Intelligence in Healthcare. npj Digital Medicine. 2021;4(1):140.

7. Offredy M, Vickers P. Developing a Healthcare Research Proposal: An Interactive Student Guide. Somerset: Wiley-Blackwell; 2013.

8. von Eschenbach WJ. Transparency and the Black Box Problem: Why We Do Not Trust AI. Philosophy & Technology. 2021;34(4):1607-22.

1175

Digital Poster