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 .
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

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

Shiran Zhang   1 * ;   Evelyn Phan   2 * ;   Pedro Velmovitsky   3, 4 , MSc, PhD ;   Quynh Pham   3, 4, 5, 6 , MSc, PhD ;   Scott Sanner   7 , BS, MS, PhD

1 Department of Mechanical & Industrial Engineering, Faculty of Applied Science & Engineering, University of Toronto, Toronto, ON, Canada

2 The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, Faculty of Applied Science & Engineering, University of Toronto, Toronto, ON, Canada

3 Centre for Digital Therapeutics, Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada

4 Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada

5 Telfer School of Management, University of Ottawa, Ottawa, ON, Canada

6 School of Public Health Sciences, Faculty of Health, University of Waterloo, Waterloo, ON, Canada

7 Department of Mechanical & Industrial Engineering, Faculty of Applied Science & Engineering, University of Toronto, Toronto, ON, Canada

*these authors contributed equally

Corresponding Author:

  • Shiran Zhang
  • Department of Mechanical & Industrial Engineering, Faculty of Applied Science & Engineering
  • University of Toronto
  • 27 King's College Circle
  • Toronto, ON M5S 1A1
  • Canada
  • Phone: 1 416-978-2011
  • Email: sherryzh.zhang@mail.utoronto.ca