Simulating a virtual tumor board with large language models: a pilot study in NSCLC patients receiving immunotherapy
An LLM primed with comprehensive guidelines can accurately and safely replicate MDT recommendations for complex NSCLC cases. The combination of guideline injection and meticulous prompt engineering is a critical strategy for ensuring LLM reliability. This positions these models as powerful decision-support tools to augment, not replace, expert clinical workflow.
Authors
- Rashad İsmayılov (ORCID: https://orcid.org/0000-0002-7093-2722)
- Zafer Akçalı (ORCID: https://orcid.org/0000-0003-2473-4431)
- Özden Altundağ (ORCID: https://orcid.org/0000-0003-0197-6622)
Institutions
- Başkent University (TR)
Publication Details
- Journal
- Immunotherapy
- Published
- 2025-10-13
- DOI
- https://doi.org/10.1080/1750743x.2025.2580272
- Primary Topic
- Advances in Oncology and Radiotherapy
- Type
- article
- Field-Weighted Citation Impact
- 0.00