# Generative AI and medical oncologists: Be curious, but cautious!

## TL;DR

This editorial discusses the benefits and risks of using AI in oncology, emphasizing the need for caution to avoid misleading results.

## Contribution

The paper highlights the importance of human oversight in AI use, especially to prevent 'AI hallucinations' in medical contexts.

## Key findings

- AI technologies like ChatGPT can produce detailed but fabricated responses in oncology.
- Human input is essential for interpreting AI outputs and formulating accurate questions.
- Generative AI has potential but requires careful application to avoid misleading medical professionals.

## Abstract

The purpose of this editorial is to explore the potential and risks of using AI in the medical field, particularly in oncology. We describe the history of AI from its origins to the present day, highlighting its positive aspects and potential for each type of AI (expert system, machine learning, generative AI). Technologies like ChatGPT are increasingly being used across various domains; however, without proper caution, they can give rise to phenomena such as 'AI hallucinations'—responses that may appear precise, detailed, clear, and logical, but are in fact entirely fabricated and unfounded, potentially confusing those who read them. We want to caution oncologists against the unconditional use of these technologies, where human input remains still essential both in interpreting the responses and in formulating the questions.