Assessment and scoring of histological images in Ulcerative colitis (UC) is prone to inter- and intra-observer variability. This study aimed to investigate whether an artificial intelligence (AI) system developed using image processing and machine learning algorithms could measure histological disease activity based on the Nancy index.

中文翻译：

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人工智能驱动的评分系统，用于测量溃疡性结肠炎的组织学疾病活动

溃疡性结肠炎 (UC) 组织学图像的评估和评分容易出现观察者之间和观察者内部的差异。本研究旨在调查使用图像处理和机器学习算法开发的人工智能（AI）系统是否可以根据南希指数测量组织学疾病活动。