Streamlining systematic reviews with large language models using prompt engineering and retrieval augmented generation.

Journal: BMC medical research methodology
PMID: 40349005

Abstract

BACKGROUND: Systematic reviews (SRs) are essential to formulate evidence-based guidelines but require time-consuming and costly literature screening. Large Language Models (LLMs) can be a powerful tool to expedite SRs.

Authors

  • Fouad Trad
    Department of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon. fat10@mail.aub.edu.
  • Ryan Yammine
    Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
  • Jana Charafeddine
    Department of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon.
  • Marlene Chakhtoura
    Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
  • Maya Rahme
    Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
  • Ghada El-Hajj Fuleihan
    Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
  • Ali Chehab
    Department of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon.

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