An Australasian survey on the use of ChatGPT and other large language models in medical physics
- Author(s)
- Norris, SA; Kron, T; Masterson, M; Badawy, MK;
- Journal Title
- Physical and Engineering Sciences in Medicine
- Publication Type
- Online publication before print
- Abstract
- This study surveyed medical physicists in Australia and New Zealand on their use of large language models (LLMs), particularly ChatGPT. There is currently no literature on the application of ChatGPT and other LLMs by medical physicists. This survey targeted a mixed group of professionals, including clinical medical physicists, registrars, students, and other specialised roles. It reveals that many respondents integrate LLM platforms into their work for a broad range of tasks. Most participants reported efficiency gains, although fewer perceived improvements in the overall quality of their work. Despite these benefits, substantial concerns remain regarding data security, patient confidentiality, and the lack of established guidelines or professional training for using these tools in a clinical context. Further, the potential for sudden changes in accessibility and pricing, which could disproportionately impact developing countries and under-resourced departments, implies that other vulnerabilities may exist. These findings suggest the need for the medical physics community to come together and debate the careful balance between exploiting LLM platforms and developing clear best practices that implement robust risk management strategies.
- Keywords
- ChatGPT; Generative artificial intelligence; Large language model; Medical physics
- Department(s)
- Physical Sciences
- Publisher's Version
- https://doi.org/10.1007/s13246-025-01571-9
- Open Access at Publisher's Site
https://doi.org/10.1007/s13246-025-01571-9- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2025-06-26 04:30:35
Last Modified: 2025-06-26 04:31:07