LITERAS: Biomedical literature review and citation retrieval agents.

Journal: Computers in biology and medicine
Published Date: May 17, 2025

Abstract

BACKGROUND: Existing tools for reference retrieval using large language models (LLMs) frequently generate inaccurate, gray literature or fabricated citations, leading to poor accuracy. In this study, we aim to address this gap by developing a highly accurate reference retrieval system focusing on the precision and reliability of citations across five medical fields.

Authors

  • Alon Gorenshtein
    Department of Neurology, Rambam Health Care Campus, Haifa, Israel; Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel; AI in Neurology Laboratory, Ruth and Bruce Rapaport Faculty of Medicine, Technion Institute of Technology, Haifa, 3525408, Israel.
  • Kamel Shihada
    Department of Neurology, Rambam Health Care Campus, Haifa, Israel; Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel.
  • Moran Sorka
    AI in Neurology Laboratory, Ruth and Bruce Rapaport Faculty of Medicine, Technion Institute of Technology, Haifa, 3525408, Israel.
  • Dvir Aran
    Faculty of Biology, Technion-Israel Institute of Technology, Haifa, Israel; The Taub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel.
  • Shahar Shelly
    Department of Neurology, Mayo Clinic, Rochester, MN, USA; Department of Neurology, Rambam Medical Center, Haifa, Israel.

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