Ethical challenges surround informed consent in radiation oncology, suggesting the need for AI transparency and patient understanding.
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.
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Shishak et al. (2025) studied this question.
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