Foundations for AI-Enhanced Nuclear Medicine Education: Theory and Ethics

AI tools in nuclear medicine education must be grounded in learning theories and ethical guardrails: structured prompting, retrieval-augmented generation, and expert review safeguard human judgment, privacy, and critical thought.

• Effective AI techniques include structured prompt design, retrieval-augmented generation, meta-prompting, AI customization, and vibe coding.
• Ethical concerns addressed: accuracy, bias, transparency, and privacy, with explicit safeguards like guardrails and expert review.
• Integration should follow theory-informed, source-grounded workflows to enable self-regulated and transformative learning for the expanding nuclear medicine workforce.

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