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Peer-reviewedCC BYBioengineering (Basel, Switzerland)

Graph-Enhanced Retrieval-Augmented Generation for Postoperative Patient Question Answering: A Comparative Evaluation of Knowledge Graph, Retrieval-Augmented Generation, and Hybrid GraphRAG Approaches

  • Srinivasagam Prabha1
  • Bernardo G. Collaco1
  • Carina Rosa Malena1
  • Syed Ali Haider1
  • Nadia Wood2
  • Antonio Jorge Forte1
  1. 1Division of Plastic Surgery, Mayo Clinic, 4500 San Pablo Rd S, Jacksonville, FL 32224, USA; (S.P.); (B.G.C.); (C.R.M.); (S.A.H.)
  2. 2Department of Radiology AI IT, Mayo Clinic, Rochester, MN 55905, USA;
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Cite

BibTeXRIS
BibTeX
@article{prabha2026graphenhanced,
  title = {{Graph-Enhanced Retrieval-Augmented Generation for Postoperative Patient Question Answering: A Comparative Evaluation of Knowledge Graph, Retrieval-Augmented Generation, and Hybrid GraphRAG Approaches}},
  author = {Srinivasagam Prabha and Bernardo G. Collaco and Carina Rosa Malena and Syed Ali Haider and Nadia Wood and Antonio Jorge Forte},
  journal = {Bioengineering (Basel, Switzerland)},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13701952},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Graph-Enhanced Retrieval-Augmented Generation for Postoperative Patient Question Answering: A Comparative Evaluation of Knowledge Graph, Retrieval-Augmented Generation, and Hybrid GraphRAG Approaches
AU  - Srinivasagam Prabha
AU  - Bernardo G. Collaco
AU  - Carina Rosa Malena
AU  - Syed Ali Haider
AU  - Nadia Wood
AU  - Antonio Jorge Forte
PY  - 2026
DA  - 2026/09/22
JO  - Bioengineering (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13701952
SN  - 2306-5354
ER  -