Use of artificial intelligence for cancer clinical trial enrollment: a systematic review and meta-analysis.

Journal: Journal of the National Cancer Institute
Published Date: Apr 11, 2023

Abstract

BACKGROUND: The aim of this study is to provide a comprehensive understanding of the current landscape of artificial intelligence (AI) for cancer clinical trial enrollment and its predictive accuracy in identifying eligible patients for inclusion in such trials.

Authors

  • Ronald Chow
    Princess Margaret Cancer Centre, University Health Network, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Julie Midroni
    Princess Margaret Cancer Centre, University Health Network, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Jagdeep Kaur
    Department of Biotechnology, Panjab University, Chandigarh, India. jagsekhon@yahoo.com.
  • Gabriel Boldt
    London Regional Cancer Program, London Health Sciences Centre, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada.
  • Geoffrey Liu
    Medical Oncology and Medical Biophysics, Princess Margaret Cancer Centre, Toronto, Ontario, Canada.
  • Lawson Eng
    Princess Margaret Cancer Centre, University Health Network, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Fei-fei Liu
  • Benjamin Haibe-Kains
    Princess Margaret Cancer Centre, University Health Network, Canada, Toronto, ON, Canada.
  • Michael Lock
    London Regional Cancer Program, London Health Sciences Centre, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada.
  • Srinivas Raman
    Department of Radiation Oncology, BC Cancer Vancouver, 600 W 10th Ave, Vancouver, BC, V5Z 4E6, Canada, 1 416-946-4501.

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