人工智能在整形外科教育和培训中的现状：系统回顾

IF 2.1 3区医学 Q1 EDUCATION, SCIENTIFIC DISCIPLINES

Journal of Surgical Education Pub Date : 2025-05-15 DOI:10.1016/j.jsurg.2025.103519

Ariana Genovese , Sahar Borna , Cesar A. Gomez-Cabello , Syed Ali Haider , Srinivasagam Prabha , Maissa Trabilsy , Antonio Jorge Forte

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引用次数: 0

摘要

人工智能（AI）在外科手术中显示出前景，但其在整形外科教育中的作用仍未得到充分探索。这篇综述评估了人工智能在整形外科教育中的现状。DesignA于2024年8月11日在PubMed、CINAHL、IEEE、Scopus、Web of Science和b谷歌Scholar上进行了系统搜索，使用了与人工智能、整形外科和教育相关的术语。纳入了关注人工智能在整形外科教育中的原创研究文章，不包括通信、评论、书籍章节、论文、更正、非同行评审或非英语文章。两位研究者独立筛选研究并综合数据。ROBINS-I用于评估偏倚。结果纳入15项研究，其中13项评估大型语言模型（llm），如ChatGPT、Microsoft Bing和b谷歌Bard。ChatGPT-4在在职考试中表现优于其他模型（平均得分72.7%），显示出作为整形外科教育助教的潜力。人工智能生成的个人陈述与人类撰写的个人陈述相当。然而，ChatGPT在生成手术方案时显示不准确。ChatGPT展示了其提供定性预测的能力，预测调查结果表明，目前人工智能在整形外科教育中的应用有限，但支持进一步的人工智能研究。一项研究将ChatGPT与生成模型dall - e2相结合，以创建可接受的教育图像。在1项研究中，机器学习用于评估手术技巧，并在抽脂过程中提供实时反馈。9项研究有低偏倚风险，6项研究有中等偏倚风险。结论人工智能在整形外科教学中具有一定的应用潜力。然而，证据的局限性，如人工智能模型的不确定性，引入了模糊性。虽然人工智能无法复制经验丰富的外科医生的专业知识，但它有望用于基础学习和技能评估。制定真实性指南和增强人工智能能力对于将其有效、合乎道德地融入整形外科教育至关重要。

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The Current Landscape of Artificial Intelligence in Plastic Surgery Education and Training: A Systematic Review

Objective

Artificial intelligence (AI) shows promise in surgery, but its role in plastic surgery education remains underexplored. This review evaluates the current landscape of AI in plastic surgery education.

Design

A systematic search was conducted on August 11, 2024, across PubMed, CINAHL, IEEE, Scopus, Web of Science, and Google Scholar using terms related to AI, plastic surgery, and education. Original research articles focusing on AI in plastic surgery education were included, excluding correspondence, reviews, book chapters, theses, corrections, and non–peer-reviewed or non-English articles. Two investigators independently screened studies and synthesized data. ROBINS-I was used to assess bias.

Results

Fifteen studies were included, with 13 evaluating large language models (LLMs) such as ChatGPT, Microsoft Bing, and Google Bard. ChatGPT-4 outperformed other models on In-Service Examinations (average score of 72.7%) and demonstrated potential as a teaching assistant in plastic surgery education. AI-generated personal statements were comparable to human-written ones. However, ChatGPT showed inaccuracies in generating surgical protocols. ChatGPT demonstrated its ability to provide qualitative predictions, forecasting survey results that indicated limited current use of AI in plastic surgery education but support for further AI research. a study combined ChatGPT with DALL-E 2, a generative model, to create acceptable educational images. Machine learning was used in 1 study for evaluating surgical skill and providing real-time feedback during liposuction. Nine studies had low risk of bias, while 6 had moderate risk.

Conclusions

AI demonstrates potential as an educational tool in plastic surgery. However, limitations of evidence, such as AI model uncertainties, introduce ambiguity. While AI cannot replicate the expertise of seasoned surgeons, it shows promise for foundational learning and skill assessment. Developing authenticity guidelines and enhancing AI capabilities are essential for its effective, ethical integration into plastic surgery education.

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来源期刊

Journal of Surgical Education EDUCATION, SCIENTIFIC DISCIPLINES-SURGERY

CiteScore

5.60

自引率

10.30%

发文量

261

审稿时长

48 days

期刊介绍： The Journal of Surgical Education (JSE) is dedicated to advancing the field of surgical education through original research. The journal publishes research articles in all surgical disciplines on topics relative to the education of surgical students, residents, and fellows, as well as practicing surgeons. Our readers look to JSE for timely, innovative research findings from the international surgical education community. As the official journal of the Association of Program Directors in Surgery (APDS), JSE publishes the proceedings of the annual APDS meeting held during Surgery Education Week.