An Artificial Intelligence Training Workshop for Diagnostic Radiology Residents

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.