AI-Empowered Nuclear Medicine Education, Part 2: Practical AI Applications for Educators.

Nuclear medicine (NM) educators face a pivotal time of rapid scientific innovation and expansion of theranostic possibilities, rising volumes, staffing shortages, and a call for more high-quality training. In the midst of this expansion, AI technologies have disrupted nearly every aspect of society, including education. Although data on higher-level educational outcomes and patient-specific outcomes are limited, the rapid acceleration and sophistication of AI capabilities is undeniable and ubiquitous, causing many educators to express feelings of uncertainty, incompetence, distrust, and fear. Current literature on AI interventions in health education is limited, often favoring general introductory discussions over the practical application of foundational learning theory and ethical frameworks. In this 3-part article series, we began in part 1 with a foundation of traditional learning theories and ethical principles related to AI use in NM education. This article focuses on the practical application and integration of those foundational principles in the NM educator workflow. Beginning with an educator-focused theoretical framework grounded in transformative and experiential learning theories, readers are encouraged to practically engage with the activities in the article to experience the benefits and failures of AI use in education. Effective AI techniques, including prompt-engineering elements, chain-of-thought prompting, retrieval-augmented generation, custom AI tool development, multimedia content creation, and vibe coding, are introduced with practical activities. Readers should experience the activities directly and reflect on the application and integration in their own educational practice. AI-enabled NM educators who model theory-informed, ethical, and grounded AI use encourage learners to do the same, building interconnected networks of healthy human-AI interactions. These educational activities are naturally scalable and efficient, but with grounded, thoughtful approaches, they can also be equitable, accurate, and personalized. Meeting the rapid dynamics of NM practice requires a rapidly evolving and scalable educational system powered by AI technologies.