消化内镜训练中的人工智能 - - 过去,现在和未来
Jacky C L Ho1, Zhouyao Qian1,2, Louis H S Lau1,2,3
1Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong.
概括
人工智能 (AI) 可以通过提高技能和质量来改善胃肠内镜培训. 然而,需要更多的研究来应对挑战,并将人工智能广泛整合到有效的内镜教育中.
科学领域:
- 胃肠病学 胃肠病学
- 医学教育 医学教育
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 正在改变胃肠内镜.
- 人工智能在内镜培训中的作用目前尚未得到充分探索.
- 本综述审查了人工智能在内镜训练中的证据.
研究的目的:
- 总结当前关于人工智能辅助内镜培训的证据.
- 确定人工智能在培训中的潜在缺点和挑战.
- 提出人工智能在内镜教育中的未来方向.
主要方法:
- 为了在2025年1月之前对AI和内镜培训文献进行系统的MEDLINE搜索.
- 研究的相关性被选,不包括评论,信件和缺乏培训重点的研究.
- 在选了1443个记录后,包括了27篇文章.
主要成果:
- 人工智能在改善各种类型 (光线,肝胆,囊,治疗) 的内镜训练方面显示出潜力.
- 目前的人工智能应用是基于任务的,专注于质量指标,病变检测和地标识别.
- 未来的人工智能应该为所有经验水平的内镜医生提供全面的培训和个性化的反.
结论:
- 人工智能可以提高内镜培训中的技能获取和程序质量.
- 在目前用于内镜教育的AI应用中存在显著的差距.
- 进一步的研究对于将人工智能广泛纳入内镜培训至关重要.
相关概念视频
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