Abstract
Recent advancements in large language models (LMM; e.g., ChatGPT (OpenAI, San Francisco, California, USA)) have seen widespread use in various fields, including healthcare. This case study reports on the first use of LMM in apretreatment discussion and in obtaining informed consent for aradiation oncology treatment. Further, the reproducibility of the replies by ChatGPT3.5 was analyzed. Abreast cancer patient, following legal consultation, engaged in aconversation with ChatGPT3.5 regarding her radiotherapy treatment. The patient posed questions about side effects, prevention, activities, medications, and late effects. While some answers contained inaccuracies, responses closely resembled doctors' replies. In afinal evaluation discussion, the patient, however, stated that she preferred the presence of aphysician and expressed concerns about the source of the provided information. The reproducibility was tested in ten iterations. Future guidelines for using such models in radiation oncology should be driven by medical professionals. While artificial intelligence (AI) supports essential tasks, human interaction remains crucial.
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