Artificial Intelligence-Based Prediction of Nancy Grade Activity Using Digital Pathology in Ulcerative Colitis Patients

被引：0
|
作者：
Kim, J. E. [1 ]
Shin, T. [2 ]
Hong, S. [2 ]
Choi, S. [3 ]
Kim, E. R. [1 ]
Hong, S. N. [1 ]
Chang, D. K. [1 ]
Ha, S. Y. [4 ]
Kim, Y. H. [1 ]
机构：
[1] Samsung Med Ctr, Dept Med, Div Gastroenterol, Seoul, South Korea
[2] Samsung Med Ctr, Med AI Res Ctr, Seoul, South Korea
[3] Shinwon Med Fdn, Pathol Ctr, Gwangmyeong, South Korea
[4] Samsung Med Ctr, Dept Pathol & Translat Genom, Seoul, South Korea
来源：
JOURNAL OF CROHNS & COLITIS | 2025年 / 19卷
关键词：
D O I：
10.1093/ecco-jcc/jjae190.0119
中图分类号：
R57 [消化系及腹部疾病];
学科分类号：
摘要：
DOP080
引用
收藏
页码：i232 / i233
页数：2
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