一个新的人工智能系统用于胃和小肠囊内镜
Xia Xie1, Yu-Feng Xiao1, Huan Yang1
1Department of Gastroenterology, The Second Affiliated Hospital, The Third Military Medical University, Chongqing, China.
Gastrointestinal endoscopy
|June 8, 2024
概括
一个新的人工智能算法,SS Plus,通过减少图像审查时间和提高初级内镜师的性能,显著改善了囊内镜 (CE) 中胃肠病变的检测.
科学领域:
- 胃肠病学 胃肠病学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 为小肠 (SB) 囊内镜 (CE) 图像分析提供了好处.
- 关于AI在胃和SB CE中的应用存在有限的数据.
- 这项研究解决了在胃肠道 (GI) CE中先进AI的需求.
研究的目的:
- 评估升级AI算法SS Plus在检测胃肠道病变方面的有效性.
- 评估SS Plus对内镜师,特别是初级内镜师的诊断性能的影响.
- 为了确定SS Plus是否减少了CE图像解释中的工作负载.
主要方法:
- 基于深度学习的AI算法SmartScan (SS) 通过胃成像数据进行了增强,以创建SS Plus.
- 该研究涉及1069个GICE考试的培训 (2,672,542张图像) 和342个CE考试的验证.
- 高级和初级内镜师在SS Plus辅助阅读 (SSP-AR) 和传统阅读 (CR) 之间进行了性能比较.
主要成果:
- SS Plus的设计是为了检测5种胃病变和17种SB病变类型.
- SSP-AR显著减少了需要审查的CE图像数量 (中位数为1000对42393) 和阅读时间 (中位数为8.51分钟).
- 与CR相比,SS Plus发现了更多的胃病变 (411 vs 400) 和SB病变 (422 vs 368),初级内镜师的情况有显著改善.
结论:
- 升级的人工智能算法SS Plus有效地检测CE视频中的胃肠道病变.
- SS Plus 提高了 CE 解释的诊断准确性和效率.
- 人工智能工具特别提高了初级内镜师在CE图像阅读方面的表现.
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