Artificial Intelligence Curriculum Needs Assessment for a Pediatric Radiology Fellowship Program: What, How, and Why?

Journal: Academic radiology
Published Date: Jun 23, 2022

Abstract

RATIONALE AND OBJECTIVES: Artificial intelligence (AI) holds enormous potential for improvements in patient care, efficiency, and innovation in pediatric radiology practice. Although there is a pressing need for a radiology-specific training curriculum and formalized AI teaching, few resources are available. The purpose of our study was to perform a needs assessment for the development of an AI curriculum during pediatric radiology training and continuing education.

Authors

  • Maria Camila Velez-Florez
    Children's Hospital of Philadelphia, Department of Radiology, 3401 Civic Center Blvd., Philadelphia, PA. 19104. Electronic address: velezmc@chop.edu.
  • Adarsh Ghosh
    Department of Radiodiagnosis and Imaging, AIIMS, New Delhi, India. Electronic address: adarsh11g11@icloud.com.
  • Daniela Patton
    Children's Hospital of Philadelphia, Department of Radiology, 3401 Civic Center Blvd., Philadelphia, PA. 19104.
  • Raymond Sze
    Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Janet R Reid
    Children's Hospital of Philadelphia, Department of Radiology, 3401 Civic Center Blvd., Philadelphia, PA. 19104.
  • Susan Sotardi
    Children's Hospital of Philadelphia, Department of Radiology, 3401 Civic Center Blvd., Philadelphia, PA. 19104.

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