Novel AI applications in systematic review: GPT-4 assisted data extraction, analysis, review of bias.

Journal: BMJ evidence-based medicine
Published Date:

Abstract

OBJECTIVE: To assess custom GPT-4 performance in extracting and evaluating data from medical literature to assist in the systematic review (SR) process.

Authors

  • Jin Kyu Kim
    Department of Surgery, The Hospital for Sick Children, Toronto, Ontario, Canada kimjink@iu.edu.
  • Michael Erlano Chua
    Department of Surgery, The Hospital for Sick Children, Toronto, Ontario, Canada.
  • Tian Ge Li
    Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
  • Mandy Rickard
    Department of Surgery, The Hospital for Sick Children, Toronto, Ontario, Canada.
  • Armando J Lorenzo
    Department of Surgery, The Hospital for Sick Children, Toronto, Ontario, Canada.

Keywords

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