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An Artificial Intelligence Training Workshop for Diagnostic Radiology Residents.

Ricky Hu1, Arsalan Rizwan1, Zoe Hu1

  • 1From the School of Medicine (R.H., T.L.) and Department of Diagnostic Radiology (R.H., A.R., Z.H., A.D.C., B.Y.M.K.), Queen's University, 76 Stuart St, Kingston, ON, Canada K7L 2V7.

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Summary

A new artificial intelligence (AI) workshop improved radiology residents' AI knowledge and confidence. The program focused on foundational AI literacy, not technical skills, and was successfully integrated into their medical education.

Keywords:
Competency-based Medical EducationMachine LearningMedical EducationMedical InformaticsPostgraduate Training

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Area of Science:

  • Medical education
  • Artificial intelligence
  • Radiology

Background:

  • Residency programs require foundational knowledge in emerging technologies.
  • Artificial intelligence (AI) is increasingly impacting medical imaging and diagnostics.
  • Radiology residents need structured training in AI fundamentals.

Purpose of the Study:

  • To develop and evaluate an artificial intelligence (AI) workshop for radiology residents.
  • To provide a condensed introduction to AI fundamentals suitable for integration into residency curricula.
  • To assess the impact of the workshop on residents' AI knowledge and confidence.

Main Methods:

  • A 3-week AI workshop was designed by faculty, residents, and AI engineers.
  • The workshop incorporated didactic lectures, case studies, and programming examples.
  • Prospective surveys using a five-point Likert scale measured confidence in AI concepts before and after the workshop.

Main Results:

  • Twelve residents participated, with 11 completing the post-workshop survey.
  • 89% of participants reported increased confidence in understanding AI concepts.
  • Residents agreed the workshop improved their AI knowledge (average score 4.0 ± 0.7).

Conclusions:

  • An introductory AI workshop was successfully developed and delivered to radiology residents.
  • The workshop enhanced residents' perception and confidence in AI topics.
  • Foundational AI literacy can be effectively integrated into postgraduate radiology training.