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

IF 1.5 4区 医学 Q3 DERMATOLOGY
Jad Abi-Rafeh, Leila Cattelan, Brian Bassiri-Tehrani, Jacob Marks, Roy Kazan, Sachin Shridharani, Mark Albert, Andreas Nikolis, Mirko S Gilardino, Foad Nahai
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引用次数: 0

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.

人工智能生成的面部神经毒素注射教育课程:评估教育内容、课程结构和课程物流。
背景:大型语言模型(LLM)彻底改变了医生获取和利用人工智能(AI)的方式。人工智能在促进医学美学教育方面的潜在作用仍有待确定:本研究旨在评估人工智能(AI’)在开发教育课程方面的能力,该课程旨在培训医生和护士进行面部肉毒毒素注射:方法:根据研究目标利用人工智能模型,由五位注射专家和教育工作者对其性能进行验证:结果:人工智能为课程设计和实施提出了十个建议步骤。结果:人工智能提出了课程设计和实施的 10 个建议步骤,包括 12 个课程学习目标和建议的课程概览。制定了为期 2 天的课程表和适当的课程分配,以及完全由人工智能生成的 49 页课程简编。还提供了实施实践练习课程的 9 个步骤,以及所需设备的数量。创建了评估学员实践表现的评分标准和征求反馈意见的表格。此外,还提供了预期成本和财务概算,以及 12 个目标城市的潜在日期和地点、12 位建议的指导教师、获得赞助的指南、赞助包草案和潜在赞助商名单:结论:在开发面部毒素注射教育课程的过程中,对人工智能性能进行了验证,结果表明人工智能在课程设计和实施后勤方面具有良好的实用性。虽然人工智能的表现仍不完美,永远无法取代人类教育者,但人工智能可以为医生提供一个实用的框架,用于开发和实施美容医学及其他领域的大规模教育工作。J Drugs Dermatol.2025;24(4):e19-e29. doi:10.36849/JDD.e8331.
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来源期刊
CiteScore
2.20
自引率
13.30%
发文量
289
审稿时长
3-6 weeks
期刊介绍: The Journal of Drugs in Dermatology (JDD) is a peer-reviewed publication indexed with MEDLINE®/PubMed® that was founded by the renowned Dr. Perry Robins MD. Founded in 2002, it offers one of the fastest routes to disseminate dermatologic information and is considered the fastest growing publication in dermatology. We present original articles, award-winning case reports, and timely features pertaining to new methods, techniques, drug therapy, and devices in dermatology that provide readers with peer reviewed content of the utmost quality. Our high standards of content are maintained through a balanced, peer-review process. Articles are reviewed by an International Editorial Board of over 160 renowned experts.
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