Collaborative large language models for automated data extraction in living systematic reviews.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 39836495

Abstract

OBJECTIVE: Data extraction from the published literature is the most laborious step in conducting living systematic reviews (LSRs). We aim to build a generalizable, automated data extraction workflow leveraging large language models (LLMs) that mimics the real-world 2-reviewer process.

Authors

  • Muhammad Ali Khan
    Department of Medicine, Mayo Clinic, Phoenix, AZ, 85054, United States.
  • Umair Ayub
    Department of Medicine, Mayo Clinic, Phoenix, AZ, 85054, United States.
  • Syed Arsalan Ahmed Naqvi
    Department of Medicine, Mayo Clinic, Phoenix, AZ, 85054, United States.
  • Kaneez Zahra Rubab Khakwani
    Department of Medicine, University of Arizona, Tucson, AZ, 85721, United States.
  • Zaryab Bin Riaz Sipra
    Department of Medicine and Surgery, Rashid Latif Medical College, Lahore, Punjab, 54000, Pakistan.
  • Ammad Raina
    Department of Medicine, Canyon Vista Hospital, Sierra Vista, AZ, 85635, United States.
  • Sihan Zhou
    Department of Medicine, Mayo Clinic, Phoenix, AZ, 85054, United States.
  • Huan He
    Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States.
  • Amir Saeidi
    Department of Medicine, Mayo Clinic, Phoenix, AZ, 85054, United States.
  • Bashar Hasan
    Department of Medicine, Mayo Clinic, Rochester, MN, 55905, United States.
  • Robert Bryan Rumble
    American Society of Clinical Oncology, Alexandria, VA, 22314, United States.
  • Danielle S Bitterman
    Department of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States.
  • Jeremy L Warner
    Department of Medicine, Brown University, Providence, RI, 02912, United States.
  • Jia Zou
    Department of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, 85287, United States.
  • Amye J Tevaarwerk
    Department of Oncology, Mayo Clinic, Rochester, MN, 55905, United States.
  • Konstantinos Leventakos
    Department of Medical Oncology, Mayo Clinic, Rochester, MN, USA.
  • Kenneth L Kehl
    Department of Medicine, Dana-Farber Cancer Institute, Boston, MA, 02215, United States.
  • Jeanne M Palmer
    Department of Medicine, Mayo Clinic, Phoenix, AZ, 85054, United States.
  • Mohammad Hassan Murad
    Department of Medicine, Mayo Clinic, Rochester, MN, 55905, United States.
  • Chitta Baral
    Department of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, 85287, United States.
  • Irbaz Bin Riaz
    Department of Medical Oncology Mayo Clinic Scottsdale Arizona USA.

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