Expanded AI learning: AI as a Tool for Human Learning.

Journal: Academic radiology
Published Date: Apr 10, 2025

Abstract

RATIONALE AND OBJECTIVES: To demonstrate that a deep learning (DL) model can be employed as a teaching tool to improve radiologists' ability to perform a subsequent imaging task without additional artificial intelligence (AI) assistance at time of image interpretation.

Authors

  • Shahriar Faghani
    Mayo Clinic Artificial Intelligence Lab, Department of Radiology, Mayo Clinic, 200 1st Street, S.W., Rochester, MN, 55905, USA.
  • Christin A Tiegs-Heiden
    Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Mana Moassefi
    Mayo Clinic Artificial Intelligence Lab, Department of Radiology, Mayo Clinic, 200 1st Street, S.W., Rochester, MN, 55905, USA.
  • Garret M Powell
    Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905.
  • Michael D Ringler
    Division of Musculoskeletal Radiology, Department of Radiology, Mayo Clinic, Rochester, MN, USA.
  • Bradley J Erickson
    Department of Radiology, Radiology Informatics Lab, Mayo Clinic, Rochester, MN 55905, United States.
  • Nicholas G Rhodes
    Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

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