Attitudes toward large language model-based Artificial Intelligence systems as an information source for shared decision-making in radiation oncology
Only a minority of radiation oncology patients currently use LLMs, and many remain skeptical about their future role-contrasting with the more optimistic expectations of HCPs.
Authors
- Lisa C. Adams (ORCID: https://orcid.org/0000-0001-5836-4542)
- Kai Joachim Borm (ORCID: https://orcid.org/0009-0005-8580-890X)
- Jacqueline Lammert (ORCID: https://orcid.org/0000-0002-0380-574X)
- Sophia Kiesl
- Sophie Maier
- Luisa Allwohn (ORCID: https://orcid.org/0000-0002-3443-2712)
- Nina A. Mayr (ORCID: https://orcid.org/0000-0003-2182-7739)
- R. Moser
- S Behzadi
- Lena Marie Buchecker
- Stephanie E Combs
- Max Tschochohei
- Jana Nano
Institutions
- Google (United States) (US)
- German Cancer Research Center (DE)
- TUM Klinikum (DE)
- Helmholtz Zentrum München (DE)
- Technical University of Munich (DE)
- Michigan State University (US)
Publication Details
- Journal
- The Oncologist
- Published
- 2025-12-20
- DOI
- https://doi.org/10.1093/oncolo/oyaf414
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00