| Sumario: | This article focuses on the integration of artificial intelligence (AI) into radiation sciences education at the Mount Sinai Center for Radiation Sciences Education at Stony Brook University. It describes a multidimensional, practice-aligned approach embedding AI tools—including large language models (LLMs), virtual reality (VR), and simulation platforms like a virtual linear accelerator (LINAC)—into radiation therapy and medical dosimetry curricula to enhance clinical readiness, interprofessional collaboration, personalized learning, and ethical use. The program incorporates AI-supported treatment planning, SMART goal development aided by LLMs, immersive VR training for MR-LINAC environments, and AI-enhanced assessment aligned with certification standards, all while emphasizing academic integrity and professional accountability. The center also pursues faculty development, curriculum updates, and research literacy initiatives to prepare students for AI-enabled clinical practice and ongoing technological advances in radiation oncology.
|