人工智能作为妇科超声波教学工具:系统的搜索和范围审查
Alison Deslandes1, Jodie Avery1, Hsiang-Ting Chen2
1Robinson Research Institute University of Adelaide Adelaide South Australia Australia.
Australasian journal of ultrasound in medicine
|March 4, 2024
概括
人工智能 (AI) 在妇科超声波培训方面表现有前途. 然而,目前的研究显示,没有原始研究专门详细介绍人工智能教学这些技能的工具.
科学领域:
- 医疗成像医学成像
- 教育中的人工智能
- 妇科超声波培训 妇科超声波培训
背景情况:
- 超声波技能在妇科中至关重要.
- 人工智能为提高医疗培训提供了潜力.
- 妇科超声波需要专门的技能发展.
研究的目的:
- 调查人工智能 (AI) 工具在教导妇科超声技能的当前应用.
- 确定在这个特定的医疗培训领域中使用的现有AI技术.
主要方法:
- 2022年12月,对八个主要科学数据库进行了全面的范围审查.
- 搜索包括与人工智能,超声技术和妇科成像相关的预定义关键字.
- 如果报告AI工具用于教学或提高妇科超声波技能,则将出版物纳入.
主要成果:
- 最初的搜索结果是481篇文章,其中只有两个符合纳入标准.
- 这两篇文章都没有报道原始研究; 一篇是系统性审查,另一篇是综述文章.
- 没有详细介绍了妇科超声波培训的特定AI工具,尽管注意到了相关的产科应用.
结论:
- 人工智能有可能在妇科成像中培训超声波和超声波操作员.
- 这次审查发现,针对专门用于妇科超声波技能发展的人工智能工具的原始研究中存在重大差距.
- 未来的研究可以探索将人工智能工具从相关领域 (如产科) 调整为妇科超声波培训.
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