AI Chatbot for Cancer Patient Support: Development and Evaluation Using Llama 3.1, Mistral 7B, and PHI 3B
This study develops and evaluates a question-answering (Q&A) system for breast cancer patients using generative AI technologies. We compared the performance of three language models-Llama 3.1, Mistral 7B and Phi 3.5. The goal is to integrate this system into a patient-facing application, providing personalised, interactive support based on reliable sources such as Cancer Research UK. However, findings indicate that misinformation remains a significant concern. Medical chatbots utilising retrieval augmented generation (RAG) providing clinical information require significant refinement before being suitable for clinical use.
Authors
- R. Lee
- Franz Gruber (ORCID: https://orcid.org/0000-0003-2008-8460)
- Arlene Casey (ORCID: https://orcid.org/0000-0003-3256-0654)
- Matúš Falis (ORCID: https://orcid.org/0009-0006-7649-6251)
- T. Nash
- Samuel McInerney
Institutions
- NHS Greater Glasgow and Clyde (GB)
- University of Edinburgh (GB)
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3233/shti250494
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 11.68