Advancing Radiology Education with Artificial Intelligence: Curriculum Planning, Implementation, and Evaluation
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The authors explore how artificial intelligence (AI) can enhance radiology education, focusing on curriculum planning, implementation, and evaluation. They utilize Harden's 10-step framework to identify current and future applications of AI, such as personalizing learning pathways and automating assessments, while also addressing significant challenges like implementation costs and data privacy concerns. Ultimately, they advocate for a strategic approach to AI adoption in radiology programs to prepare trainees for an AI-integrated future.
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