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This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (1413) Clinical Informatics (2378) Clinical Information and Decision Making (3875) Information Retrieval (498) Data Science (725) Generative Language Models Including ChatGPT (1624)

Published on in Vol 10 (2026)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84932, first published .
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Retrieval-Augmented Generation for Medical Question Answering on a Heart Failure Dataset: Performance Analysis

Retrieval-Augmented Generation for Medical Question Answering on a Heart Failure Dataset: Performance Analysis

Authors of this article:

Shiran Zhang1 Author Orcid Image ;   Evelyn Phan2 Author Orcid Image ;   Pedro Velmovitsky3, 4 Author Orcid Image ;   Quynh Pham3, 4, 5, 6 Author Orcid Image ;   Scott Sanner7 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Gencer K. RAG-Augmented Explainable Early Warning System for Acute Kidney Injury in the ICU: A KDIGO-Aligned XGBoost Pipeline With SHAP-Driven Evidence Retrieval on MIMIC-IV. IEEE Access 2026;14:93893 View
  2. Zhao Y, Miao Y, Guo R, Luo Y, Wang H, Wu Y. Evaluation Methods for Inference-Time Retrieval-Augmented and Graph Retrieval-Augmented Large Language Models in Health Care: Scoping Review. Journal of Medical Internet Research 2026;28:e90046 View
  3. Ghaywat V, Singh A, Shahade A, Khan W, Deshmukh P. A Survey of conversational AI from rule based to generative and retrieval augmented generation chatbots. Discover Artificial Intelligence 2026;6(1) View

Conference Proceedings

  1. Lorensia A, Vincent D, Febrianto D, Amirul Jabar B, Halim R. 2026 13th International Conference on ICT for Smart Society (ICISS). Evaluating the Efficacy of RAG-Enhanced Local LLMs in Cross-lingual Medical Information Retrieval: A Case Study on Indonesian to English Retrieval View