一个新的内镜人工智能系统,以协助诊断自身免疫性胃炎:一个多中心研究
Shurong Chen1, Louzhe Xu2, Lingling Yan3
1Department of Gastroenterology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
一个新的人工智能 (AI) 系统在从内镜图像中诊断自身免疫性胃炎 (AIG) 时显示出专家级准确性. 这种AI工具提高了内镜师的性能,有助于早期AIG检测和活检指导.
科学领域:
- 胃肠病学 胃肠病学
- 人工智能在医学中的应用
- 医学诊断 医学诊断 医学诊断
背景情况:
- 自体免疫性胃炎 (AIG) 往往被低诊断,因为与Helicobacter pylori相关的缩性胃炎 (HpAG) 相比,意识较低.
- 进行了多中心的努力,开发了一种人工智能 (AI) 系统,以帮助AIG诊断.
研究的目的:
- 开发和评估一种新的内镜AI系统,用于协助诊断自身免疫性胃炎 (AIG).
主要方法:
- 通过使用内镜图像和来自AIG,HpAG和非缩性胃炎 (NAG) 患者的临床数据开发了一种多部位特征融合模型.
- 人工智能系统的诊断性能在内部和外部数据集上进行了评估.
- 内镜师的诊断性能与人工智能辅助和无人工智能辅助进行了比较.
主要成果:
- 人工智能系统实现了高诊断性能,灵敏度和特异性分别高达96.9%和93.1%,在内部测试中AUROC为0.990.
- 人工智能的表现与专家相当,并且显著超过非专家.
- 人工智能辅助的整体内镜诊断灵敏度从78.7%提高到90.3% (P=0.008).
- 热图分析证实了人工智能专注于缩的区域.
结论:
- 开发的AI系统在识别AIG方面展示了专家级的能力.
- 人工智能工具提高了内镜医生的诊断准确度,并可以帮助进行活检采样,以改善早期AIG检测.
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