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基于人工智能的自动化阶段识别系统用于食道内镜下粘膜剖析 (带视频)
Tasuku Furube1, Masashi Takeuchi1, Hirofumi Kawakubo1
1Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
Gastrointestinal endoscopy
|January 7, 2024
概括
一个人工智能 (AI) 系统准确地识别了食道癌的内镜下粘膜剖析 (ESD) 的阶段. 这种人工智能工具可以分析ESD程序,有助于质量评估和新治疗方法的开发.
科学领域:
- 胃肠病学 胃肠病学
- 人工智能在医学中的应用
- 医学成像分析 医学成像分析
背景情况:
- 表面食道癌的内镜下粘膜剖析 (ESD) 涉及复杂的,多步骤的内镜程序.
- 分析个别的ESD阶段至关重要,但劳动密集型,限制实际应用.
研究的目的:
- 开发一种基于人工智能 (AI) 的先进系统,用于在内镜下粘膜解剖 (ESD) 期间进行自动化相识别.
- 通过视频图像分析,可自动识别每个内镜阶段.
主要方法:
- 开发了一个深度神经网络,用于自动化相位识别.
- 该系统经过训练和验证,使用94个视频对表面食道癌的ESD程序进行了训练和验证,由两名胃肠科医生进行了注释.
主要成果:
- 人工智能模型在自动化相位识别方面实现了90%的整体准确性.
- 平均精度,回忆和F-score分别为91%,90%和90%.
- 在代表性视频上的验证证明了AI系统的临床实用性.
结论:
- 基于人工智能的食道ESD自动化阶段识别系统可以成功地以高精度实现.
- 这是关于自动识别ESD治疗阶段的第一份报告.
- 该系统促进了详细的阶段分析,可能识别出新型治疗方法的质量指标和未满足需求.
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