辅助文档作为人工智能在内镜中的新焦点:可靠的抽取时间和图像报告的先例
Thomas J Lux1, Zita Saßmannshausen1, Ioannis Kafetzis1
1Interventional and Experimental Endoscopy (InExEn), Internal Medicine II, University Hospital Würzburg, Würzburg, Germany.
Endoscopy
|July 3, 2023
概括
一个人工智能 (AI) 系统准确地测量了结肠镜抽取时间,并生成了照片文件,提高了报告质量并减少了临床医生的工作量. 这种人工智能工具增强了标准化的内镜报告.
科学领域:
- 医学技术 医学技术 医学技术
- 医学中的人工智能
- 胃肠病学 胃肠病学
背景情况:
- 在临床实践中,内镜报告质量是不一致的.
- 可靠的文档对于维持内镜质量标准至关重要.
- 一个AI原型被开发来解决这些文档挑战.
研究的目的:
- 开发和验证一个人工智能系统来测量退出和干预时间.
- 在内镜手术过程中自动化摄影记录.
- 评估人工智能系统的准确性和实时能力.
主要方法:
- 在来自多个中心的10,000多张内镜图像上训练了一种深度学习算法.
- 人工智能系统计算了退出时间并提取了相关图像.
- 验证涉及将AI预测与基于视频的测量和手动的照片记录进行比较.
主要成果:
- 人工智能对戒断时间的预测显示,与报告时间 (2.0分钟) 相比,绝对差异的中位数 (0.4分钟) 显著较低.
- 人工智能生成的照片记录改善了眼的表现 (98/100 vs. 88/100) 和多角切除术的仪器包含 (68/104 vs. 39/104).
- 人工智能系统在实时结肠镜检查中展示了实时处理能力.
结论:
- 开发的人工智能系统准确计算退出时间,并生成全面的图像报告.
- 人工智能系统已经准备好在临床环境中实时应用.
- 进一步验证可能会导致标准化的内镜报告和减少文档工作量.
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