Artificial Intelligence-Generated Educational Curriculum on Facial Neurotoxin Injections: Assessment of Educational Content, Curriculum Structure, and Course Logistics
April 2025 | Volume 24 | Issue 4 | e19 | Copyright © April 2025
Published online March 31, 2025
Jad Abi-Rafeh MD MSca, Leila Cattelan MDb, Brian Bassiri-Tehrani MD FACSc, Jacob Marks MDd, Roy Kazan MD PhD FRCSCa, Sachin Shridharani MD FACSc, Mark Albert MD FACSc, Andreas Nikolis MD PhD FRCSCa, Mirko S. Gilardino MD MSc FRCSC FACSa, Foad Nahai MD FACSe
aDivision of Plastic, Reconstructive, and Aesthetic Surgery, McGill University Health Centre, Montreal, Quebec, Canada
bDepartment of Medicine, McGill University Health Centre, Montreal, Quebec, Canada
cPrivate Practice, New York, NY
dManhattan Eye, Ear, and Throat Hospital, New York, NY
eDepartment of Surgery, Emory University, Atlanta, GA
Abstract
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
INTRODUCTION
ChatGPT (OpenAI, San Francisco, California) is a novel artificial intelligence (AI) large language model (LLM) that has garnered significant attention in the literature as of late.1-3 With potential to significantly improve efficiency and human productivity, interest in the integration of AI into different sectors, including healthcare, is on the rise.4-10 Within medical education, LLMs have demonstrated a remarkable ability to answer standardized pre-medical and medical examination questions, including from the Biomedical Admissions Test (BMAT)11 and United States Medical Licencing Examinations (USMLE).12-14 In plastic surgery, ChatGPT has scored similarly to first-year residents on the American Society of Plastic Surgeons (ASPS) in-service training examination, while also successfully answering board-examination questions from an array of different medical and surgical subspecialties.15-20
The potential role of AI in facilitating medical education and training in aesthetic surgery may thus warrant investigation. In parallel to the growing number of physician and nurse aesthetic injectors observed as of late, reports on preventable complications from unsafe injection practices are also on the rise. This accentuates the importance of medical education in injectables and aesthetic medicine.21-23 Furthermore, several previous studies have identified a need for specialized training
