英国的人工智能和外科教育:对当前使用,证据缺口和未来方向的系统审查
Ranj Bhakar1, James Miller2, Amelia Simenacz3
1Trauma and Orthopaedics, Torbay Hospital, Torquay, GBR.
Cureus
|December 3, 2025
概括
英国外科培训中的人工智能 (AI) 是有希望的,但需要更多的证据. 未来的研究应该集中在有效的AI工具的多中心验证和国家协调上.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 进行外科手术培训.
背景情况:
- 在外科培训中对人工智能的全球文献正在增长.
- 英国环境具有独特的治理,采购和培训结构.
- 国家倡议强调人工智能和扩展现实 (XR) 现代化外科教育.
研究的目的:
- 在外科培训中综合英国特定的AI应用.
- 确定目前在手术教育中采用人工智能的差距.
- 提出未来英国人工智能外科培训研究的优先事项.
主要方法:
- 专注搜索同行评审和灰色文献,包括政策文件.
- 在PubMed,Embase,Scopus和Web of Science数据库中进行了搜索.
- 包括英国的AI应用在外科教育,模拟或评估中.
主要成果:
- 英国的文献包括有关人工智能增强的VR/AR模拟和性能分析的政策报告和试点研究.
- 经验研究表明可行性和可接受性,但对改善操作性能的证据有限.
- 障碍包括成本,教师培训,数据治理和访问可变性.
结论:
- 英国正处于人工智能在外科教育中的早期采用阶段,政策势头和机器人计划扩展.
- 为了标准化指标和公平获取,需要合作.
- 强大的多中心评估框架和对道德考虑的关注至关重要.
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