[人工智能在内镜中的临床实施:人类-人工智能交互视角]
Eun Jeong Gong1,2, Chang Seok Bang1,2
1Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, Korea.
The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi
|January 23, 2026
概括
内镜中的人工智能 (AI) 是有前途的,但面临着现实世界的挑战. 人与人工智能的交互问题,如自动化偏见和忽视,可能会阻碍业绩,强调需要仔细实施和持续的人类专业知识.
科学领域:
- 胃肠病学 胃肠病学
- 医疗人工智能 医疗人工智能
- 人与计算机的交互
背景情况:
- 人工智能 (AI) 在检测胃肠病变方面表现出高精度.
- 现实世界的研究表明,尽管有技术能力,但在内镜中AI的结果不一致.
- 人类因素在临床实践中显著影响AI的有效性.
研究的目的:
- 通过人 - 人工智能交互镜头审查内镜中的AI实施.
- 识别影响AI使用和性能的认知现象.
- 探索优化AI整合在胃肠内镜中的策略.
主要方法:
- 对内镜中人工智能实施研究的审查.
- 分析人类与人工智能的互动,重点关注诸如自动化忽视和偏见之类的认知偏见.
- 对52项人类-人工智能组合研究的系统分析.
主要成果:
- 人与人工智能的协作并不总是达到理想的互补性,有时精度下降.
- 人工智能的有效性因操作员的专业知识而异,中间经验的内镜师显示出最大的益处.
- 人工智能暴露后,人们对失去培训和诊断性能下降存在担忧.
结论:
- 保持人类专业知识和临床判断至关重要,尽管人工智能取得了进展.
- 像可解释的人工智能,以人为中心的设计和定制教育等策略对于有效的人工智能集成至关重要.
- 人工智能应该被视为一种工具来支持,而不是取代临床医生的内镜决策.
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