开发和应用人工智能辅助的内镜系统,用于对结直肠的自动和准确诊断
Zhihang Yu1, Xinyuan Liu2, Xinkun Yu1
1Shanghai Key Lab of Intelligent Information Processing, and School of Computer Science, Fudan University, 2005 Songhu Road, Shanghai, 200438, China.
一个人工智能 (AI) 系统准确地识别了五种主要的肠道疾病:克罗恩病 (CD),性结肠炎 (UC),肠道贝切特病 (BD),肠道结核病 (ITB) 和初级肠道淋巴瘤 (PIL). 这种人工智能工具在改善这些具有挑战性的性疾病的诊断精度方面表现有前途.
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:
- 克罗恩病 (CD),性结肠炎 (UC),肠道贝希特病 (BD),肠道结核病 (ITB) 和原发性肠道淋巴瘤 (PIL) 是不同的肠道疾病,通常呈现出类似的粘膜.
- 由于患者表现,内镜发现和成像结果的重叠特征,准确的区分在临床上具有挑战性.
研究的目的:
- 开发和验证人工智能 (AI) 辅助的内镜诊断系统,用于精确识别五种主要的性肠道疾病.
- 将人工智能系统的诊断性能与经验丰富的内镜师进行比较.
主要方法:
- 一项多中心前性研究,利用来自病理确诊的CD,UC,BD,ITB和PIL病例的内镜图像.
- 使用卷积神经网络 (CNN) 和变压器架构开发人工智能系统.
- 多个中心的验证,前性评估和临床数据的整合,以建立一个全面的诊断模型.
主要成果:
- 人工智能系统在内部验证 (96.8%) 和多中心测试 (83.4%) 中实现了高精度.
- 展望评估表明,人工智能系统的表现明显优于高级内镜 (83.4%与59.4%,P < 0.001).
- 综合临床和内镜数据的综合模型达到76.3%的准确性.
结论:
- 一个人工智能辅助的内镜诊断系统已经成功开发出来,可以区分CD,UC,BD,ITB和PIL.
- 这种人工智能工具有可能提高性结直肠疾病患者的诊断准确性和临床决策.
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