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Perspective| Volume 30, ISSUE 5, P971-974, May 2023

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Academic Radiology Departments Should Lead Artificial Intelligence Initiatives

  • Samantha M Santomartino
    Affiliations
    University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, W. Baltimore Street, First Floor, Rm. 1172, 21201 Baltimore, MD
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  • Eliot Siegel
    Affiliations
    University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, W. Baltimore Street, First Floor, Rm. 1172, 21201 Baltimore, MD
    Search for articles by this author
  • Paul H Yi
    Correspondence
    Address correspondence to: P.H.Y.
    Affiliations
    University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, W. Baltimore Street, First Floor, Rm. 1172, 21201 Baltimore, MD

    Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, MD
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Published:August 11, 2022DOI:https://doi.org/10.1016/j.acra.2022.07.011

      Rationale and Objectives

      With a track record of innovation and unique access to digital data, radiologists are distinctly positioned to usher in a new medical era of artificial intelligence (AI).

      Materials and Methods

      In this Perspective piece, we summarize AI initiatives that academic radiology departments should consider related to the traditional pillars of education, research, and clinical excellence, while also introducing a new opportunity for engagement with industry.

      Results

      We provide early successful examples of each as well as suggestions to guide departments towards future success.

      Conclusion

      Our goal is to assist academic radiology leaders in bringing their departments into the AI era and realizing its full potential in our field.

      Keywords

      Abbreviations:

      AI (artificial intelligence), AIMI (Stanford's Artificial Intelligence in Medicine Center)
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