人工智能能增强医生对光学连贯性断层扫描的解释:从眼睛跟踪的见解
Giacomo Maria Cioffi1, Natalia Pinilla-Echeverri1, Tej Sheth1
1Division of Cardiology, Hamilton General Hospital, Hamilton Health Sciences, McMaster University, Hamilton, ON, Canada.
Frontiers in cardiovascular medicine
|December 25, 2023
概括
人工智能 (AI) 辅助的UltreonTM 2.0软件提高了光学连贯断层扫描 (OCT) 查看效率,用于皮肤冠状动脉干预 (PCI) 解释. 这种人工智能工具简化了图像分析,有可能降低OCT在临床实践中采用的障碍.
科学领域:
- 心血管成像 - 心血管成像
- 医疗人工智能 医疗人工智能
- 干预心脏病学 干预心脏病学
背景情况:
- 透皮冠状动脉干预 (PCI) 中光学连贯性断层扫描 (OCT) 的采用受到专业实时图像解释专业知识的需求的阻碍.
- 人工智能 (AI) 辅助软件为克服这些采用障碍提供了潜在的解决方案.
- UltreonTM 2.0是一种支持人工智能的软件,旨在增强OCT图像解释.
研究的目的:
- 评估人工智能辅助的UltreonTM 2.0软件对PCI中OCT图像解释的查看效率和准确性的影响.
- 使用眼睛跟踪指标,将UltreonTM 2.0的性能与传统的AptiVueTM软件进行比较.
- 评估人工智能辅助是否有利于经验丰富和缺乏经验的干预心脏病学家.
主要方法:
- 麦克马斯特大学的18名干预心脏病学家和研究员根据OCT使用情况被分为经验丰富和缺乏经验的组.
- 参与者使用UltreonTM 2.0和AptiVueTM软件审查了OCT图像,同时记录了眼睛的运动.
- 分析了包括时间到第一次固定,总任务时间,停留时间和解释精度在内的关键指标.
主要成果:
- 与AptiVueTM相比,UltreonTM 2.0显著提高了查看效率,减少了第一次固定时间 (0.9s vs 1.6s) 和总任务时间 (10.2s vs 12.6s).
- 对于UltreonTM 2.0 (58%对41%) 来说,感兴趣区域的停留时间增加了,这表明注意力更加集中.
- 在两种软件平台上都保持了解释准确性,经验丰富的医生比没有经验的医生准确性更高.
结论:
- 支持人工智能的UltreonTM 2.0软件增强了新手和专家医生在PCI中对OCT图像解释的查看效率.
- 观看效率的提高表明认知负载减少,可能有助于在PCI决策中更广泛地采用OCT.
- 该研究强调了人工智能在简化复杂心血管成像分析和支持临床工作流程方面的潜力.
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