CardioCanon: A Customised Chatbot for Cardiology Inquiry With Retrieval Augmented Generation to Reduce Hallucinations and Improve Performance of Large Language Models
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CardioCanon, a cardiology-focused chatbot, leverages RAG to ensure the accuracy and reliability of cardiological responses.
“CardioCanon, a cardiology-focused chatbot, leverages RAG to ensure the accuracy and reliability of cardiological responses (Tran et al., 2024).”
From Trustworthy Medical Question Answering: An Evaluation-Centric Survey (2025) · cites this paper as Tran et al., 2024
The CardioCanon abstract says the cardiology-focused chatbot uses RAG to retrieve relevant documents and reports better scores than ChatGPT 3.5 on an assessment of response quality. It describes RAG as improving performance, not ensuring the accuracy or reliability of every cardiological response. (LLM, conf=0.86)
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Trustworthy Medical Question Answering: An Evaluation-Centric Survey
Wang, Y., Wang, B., Mercer, R. E., Rudzicz, F., Roy, S. S., Ren, P., Chen, Z., & Wang, X. (2025) · arXiv · doi:10.48550/arxiv.2506.03659
- Authors
- Tran, T., Joseph, V., Smith, L., Hopkins, A., Lo, S., Hennessy, A., Juergens, C., Dimitri, H., Rajaratnam, R., French, J., Pramawardhana, U., Badie, T., Otton, J., Shaw, E., Lee, A., Fathieh, S., Akrawi, D., Shugman, I., Nguyen, K., & Guo, Y.
- Affiliations
- Camden and Campbelltown Hospitals (AU)
- Liverpool Hospital (AU)
- The University of Sydney (AU)
- Sydney Adventist Hospital (AU)
- Western Sydney University (AU)
- Venue
- Heart, Lung and Circulation
- Publisher
- Elsevier BV
- Published
- 2024-08
- Volume
- 33
- Pages
- S379-S380
- ISSN
- 1443-9506 (ISSN-L)
- OpenAlex
- W4401060421
- Cited by
- 4
- References
- 0
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1
- FWCI
- 0.37
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Heart Lung and Circulation (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Keywords
- chatbots, cardiology, retrieval-augmented generation, hallucination mitigation, large language models, health information accuracy, no-code platforms, clinical decision support
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