Artificial Intelligence-Generated Educational Curriculum on Facial Neurotoxin Injections: Assessment of Educational Content, Curriculum Structure, and Course Logistics.

Background: Large language models (LLMs) have revolutionized the way physicians access and leverage artificial intelligence (AI). The potential role of AI in facilitating aesthetic medical education remains to be established.

Objectives: The present study aims to assess AI’s ability in developing an educational curriculum for the purpose of training physician and nurse injectors in facial botulinum toxin injections.

Methods: An AI model was leveraged in line with the study's objectives; five expert injectors and educators validated its performance.

Results: Ten suggested steps for curriculum design and implementation were proposed by AI. A list of 12-course learning objectives and a suggested curriculum overview were provided. A 2-day schedule with appropriate session allocations was created, along with a 49-paged curriculum compendium generated entirely by AI. A 9-step approach towards implementation of hands-on practice sessions was provided, complete with quantities of equipment needed. Rubrics evaluating trainees’ practical performance, and a form soliciting feedback were created. Budget estimates for anticipated costs and finances were also provided, along with 12 target cities with potential dates and venues, 12 suggested instructors, guidelines for obtaining sponsorships, draft sponsorship packages, and a list of potential sponsors.

Conclusion: Validation of AI performance in the development of an educational course for facial toxin injections demonstrated promising utility for course design and implementation logistics. While AI performance remains imperfect and can never replace human educators, AI can provide a practical framework for physicians in the development and implementation of large-scale educational endeavors in aesthetic medicine and beyond. J Drugs Dermatol. 2025;24(4):e19-e29. doi:10.36849/JDD.e8331.