人工智能辅助的结肠镜差异诊断克罗恩病和胃肠结核病之间的结肠镜差异诊断
Kwangbeom Park1, Jisup Lim2, Seung Hwan Shin3
1Department of Internal Medicine, Nowon Eulji Medical Center, Eulji University, Seoul, South Korea.
一个人工智能 (AI) 模型在区分克罗恩氏病 (CD) 和胃肠结核病 (GITB) 方面表现有希望. 人工智能的帮助特别提高了实习内镜师的诊断准确度.
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:
- 区分克罗恩病 (CD) 和胃肠结核病 (GITB) 是一个诊断挑战.
- 准确的差异诊断对于适当的患者管理和治疗至关重要.
研究的目的:
- 评估人工智能 (AI) 模型的临床适用性,以区分CD与GITB.
- 在内部和外部数据集中评估AI模型的性能.
- 为了比较人工智能辅助的诊断与内镜医生的无辅助人类解释.
主要方法:
- 一个人工智能模型被开发并使用来自内部 (1,132 CD, 1,045 GITB) 和外部 (17 CD, 14 GITB) 数据集的结肠镜图像进行验证.
- 计算了性能指标,包括灵敏度,特异性和准确性.
- 一项交叉试验评估了人工智能协助对专家和实习内镜师诊断准确性的影响.
主要成果:
- 人工智能模型在内部数据集 (97.7%准确率,AUC 0.997) 中实现了高性能,在外部数据集 (81.5%准确率,AUC 0.877) 中实现了良好的性能.
- 人工智能辅助显著提高了所有内镜师 (86.2%至88.8%) 的综合诊断准确度.
- 人工智能显著提高了实习内镜师的诊断准确度 (76.7%至81.0%),但不是专家内镜师.
结论:
- 人工智能模型显示出作为一种工具的潜力,可以帮助精确诊断CD和GITB的差异诊断.
- 人工智能模型的好处对经验较少的内镜医生尤其显著,提高了他们的诊断能力.
- 进一步验证和整合人工智能可以改善诊断工作流程,以区分这些具有挑战性的胃肠道疾病.
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