Concordance with SPIRIT-AI guidelines in reporting of randomized controlled trial protocols investigating artificial intelligence in oncology: a systematic review.

Journal: The oncologist
Published Date:

Abstract

BACKGROUND: Artificial intelligence (AI) is a promising tool used in oncology that may be able to facilitate diagnosis, treatment planning, and patient management. Transparency and completeness of protocols of randomized controlled trials (RCT) involving AI interventions is necessary to ensure reproducibility of AI tools across diverse clinical settings. The SPIRIT 2013 and SPIRIT-AI 2020 guidelines were developed as evidence-based recommendations for complete reporting of trial protocols. However, the concordance of AI RCT protocols in oncology to SPIRIT reporting guidelines remains unknown. This systematic review evaluates the concordance of protocols of RCTs evaluating AI interventions in oncology to the SPIRIT 2013 and SPIRIT-AI 2020 reporting guidelines.

Authors

  • David Chen
    Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Emily He
    Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada M5S 3K3.
  • Keiran Pace
    Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada M5S 3K3.
  • Matthew Chekay
    Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada M5S 3K3.
  • Srinivas Raman
    Department of Radiation Oncology, BC Cancer Vancouver, 600 W 10th Ave, Vancouver, BC, V5Z 4E6, Canada, 1 416-946-4501.