AI for Radiology Curriculum: Planning, Implementation, and Evaluation

AI can transform radiology education by enabling automated needs assessments, personalized learning pathways, and synthetic board-style question generation, though cost, bias, and privacy concerns must be addressed.

• AI can automate needs assessments using natural language processing of learner feedback.
• Generative AI can create synthetic imaging cases and radiology board-style questions.
• AI-driven simulations and objective report-comparison tools can enhance teaching and assessment.

Automated summary

RadPigeon summaries are original and for information only. They are not clinical advice.