结肠镜检查期间内镜师-人工智能组合的眼睛追踪数据集:回顾性和实时采集
Yan Zhu1,2, Rui-Jie Yang2,3,4, Pei-Yao Fu1,2
1Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Scientific data
|February 5, 2025
概括
结肠镜中的人工智能改善了腺瘤检测. 这项研究使用眼睛跟踪来分析内镜师如何在实时程序中与人工智能合作,为更好的结肠癌查提供人机交互的见解.
科学领域:
- 胃肠病学 胃肠病学
- 医疗成像医学成像
- 人与计算机的交互
背景情况:
- 人工智能 (AI) 在结肠镜中整合可以提高腺瘤检测率 (ADR) 和降低腺瘤错误率 (AMR).
- 在结肠镜检查期间,对现实世界内镜医生与人工智能合作的研究有限.
- 眼睛跟踪是了解内镜师和人工智能系统之间的动态相互作用的宝贵工具.
研究的目的:
- 在结肠镜抽取期间分析内镜师的眼睛运动,有或没有计算机辅助检测 (CADe).
- 调查人工智能协助对内镜医生的注意力和实时结肠镜手术过程中的互动的影响.
- 建立一个数据集,用于研究临床环境中的内镜师-人工智能合作.
主要方法:
- 收集了来自不同内镜组 (学生,护士,老年人,新手) 的眼睛跟踪数据,审查了带有或没有CADe的回顾性结肠镜视频.
- 未来收集了80个实时结肠镜撤回视频段 (43个与CADe,37个控制).
- 分析了眼睛运动模式,以评估AI辅助和无辅助结肠镜期间视觉注意力和任务参与度的差异.
主要成果:
- 眼睛追踪数据显示,当内镜师使用CADe与无助检查相比时,视觉注意力的不同模式.
- 这项研究为了解人工智能如何影响实时结肠镜检查中的内镜师行为提供了基础.
- 在与人工智能互动的内镜师经验水平之间观察到眼动的差异.
结论:
- 在结肠镜撤回期间的眼睛跟踪为内镜医生-AI合作提供了关键的见解.
- 了解这些相互作用是优化人工智能集成以改善结肠镜检查结果的关键.
- 进一步的研究可以利用这个数据集来增强人工智能工具和内镜师的培训.
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