Practical AI applications for nuclear medicine educators

Nuclear medicine educators can practically apply AI through prompt engineering, chain-of-thought prompting, retrieval-augmented generation, custom tool development, and multimedia creation to build scalable, equitable, and personalized learning.

• Part 2 of a 3-part series bridges foundational learning theories with hands-on AI integration in the nuclear medicine educator workflow.
• Techniques covered include prompt engineering, chain-of-thought prompting, retrieval-augmented generation, custom AI tool development, multimedia content creation, and vibe coding.
• Educators are encouraged to directly engage with the article's activities to experience both the benefits and failures of AI in education.

Automated summary

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