AccScience Publishing / ARNM / Online First / DOI: 10.36922/ARNM025250030
PERSPECTIVE ARTICLE

Informed consent in radiation oncology: Adapting to the age of artificial intelligence

Sorun Shishak1 Tejinder Kataria1 Susovan Banerjee1* Sameer Rastogi2 Deepak Gupta1 Shyam Singh Bisht1 Kushal Narang1 Mayur Mayank1 Gargi Sharma1 Richa Arunendu1 Varun Sheoran3 Abhishek Puri4
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1 Division of Radiation Oncology, Medanta The Medicity, Gurugram, Haryana, India
2 Department of Medical Oncology, All India Institute of Medical Sciences, New Delhi, India
3 Department of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India
4 Department of Radiation Oncology, Fortis Hospital, Mohali, Punjab, India
Received: 16 June 2025 | Revised: 25 July 2025 | Accepted: 5 August 2025 | Published online: 18 August 2025
© 2025 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

The integration of artificial intelligence (AI) into radiation oncology is significantly enhancing treatment precision and efficiency. However, this technological advancement presents substantial ethical challenges, particularly in the context of informed consent. Traditional consent taking, which relies on physician discretion, must evolve to address the complexities introduced by AI systems. Key ethical considerations include ensuring that patients understand the role of AI in their treatment, transparency in AI-driven decision-making processes, and the protection of patient privacy. A refined approach to informed consent is necessary to navigate these challenges. This approach should prioritize clear communication, emphasize the complementary role of AI in treatment and the decision-making process, and address potential biases inherent in AI algorithms.

Keywords
Artificial intelligence
Radiation oncology
Consent
Oncology
Funding
None.
Conflict of interest
The authors declare that they have no competing interests.
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Advances in Radiotherapy & Nuclear Medicine, Electronic ISSN: 2972-4392 Print ISSN: 3060-8554, Published by AccScience Publishing