Exploring the integration of artificial intelligence in radiology education: A scoping review.

Journal: Current problems in diagnostic radiology
Published Date: Oct 5, 2024

Abstract

BACKGROUND: The integration of Artificial Intelligence (AI) into radiology education presents a transformative opportunity to enhance learning and practice within the field. This scoping review aims to systematically explore and map the current landscape of AI integration in radiology education.

Authors

  • Muying Lucy Hui
    Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
  • Ethan Sacoransky
    Queen's University School of Medicine, 15 Arch St, Kingston, ON K7L 3L4, Canada. Electronic address: esacoransky@qmed.ca.
  • Andrew Chung
    School of Medicine, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.
  • Benjamin Ym Kwan
    School of Medicine, Faculty of Health Sciences, Queen's University, Kingston, ON, Canada.

Keywords

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