Large language models for conducting systematic reviews: on the rise, but not yet ready for use-a scoping review.

Journal: Journal of clinical epidemiology
Published Date: Feb 26, 2025

Abstract

BACKGROUND AND OBJECTIVES: Machine learning promises versatile help in the creation of systematic reviews (SRs). Recently, further developments in the form of large language models (LLMs) and their application in SR conduct attracted attention. We aimed at providing an overview of LLM applications in SR conduct in health research.

Authors

  • Judith-Lisa Lieberum
    Eye Clinic, Medical Center - University of Freiburg/Medical Faculty - University of Freiburg, Freiburg, Germany.
  • Markus Toews
    Institute for Evidence in Medicine, Medical Center - University of Freiburg/Medical Faculty - University of Freiburg, Freiburg, Germany.
  • Maria-Inti Metzendorf
    Institute of General Practice, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
  • Felix Heilmeyer
    Institute for Digitalization in Medicine, Medical Center - University of Freiburg/Medical Faculty - University of Freiburg, Freiburg, Germany.
  • Waldemar Siemens
    Institute for Evidence in Medicine, Medical Center - University of Freiburg/Medical Faculty - University of Freiburg, Freiburg, Germany.
  • Christian Haverkamp
    Institute for Digitalization in Medicine, Medical Center - University of Freiburg/Medical Faculty - University of Freiburg, Freiburg, Germany.
  • Daniel Böhringer
    Eye Center, Medical Center, University of Freiburg, Freiburg, Germany. daniel.boehringer@uniklinik-freiburg.de.
  • Joerg J Meerpohl
    Institute for Evidence in Medicine, Medical Center - University of Freiburg/Medical Faculty - University of Freiburg, Freiburg, Germany; Cochrane Germany, Cochrane Germany Foundation, Freiburg, Germany.
  • Angelika Eisele-Metzger
    Institute for Evidence in Medicine, Medical Center - University of Freiburg/Medical Faculty - University of Freiburg, Freiburg, Germany; Cochrane Germany, Cochrane Germany Foundation, Freiburg, Germany. Electronic address: angelika.eisele-metzger@uniklinik-freiburg.de.

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