Progress on the application of artificial intelligence in histological evaluation of inflammatory bowel disease
10.3760/cma.j.cn101480-20241213-00137
- VernacularTitle:人工智能在炎症性肠病组织学评估中的应用进展
- Author:
Yue SHEN
1
;
Ziru ZHOU
1
;
Jing SUN
1
;
Zhongxia CHEN
1
;
Yuejie XU
1
;
Qiang ZHAN
1
Author Information
1. 南京医科大学附属无锡人民医院消化内科，无锡 214023
- Publication Type:Journal Article
- Keywords:
Inflammatory bowel disease;
Artificial intelligence;
Ulcerative colitis;
Crohn's disease;
Histological evaluation;
Histological remission
- From:
Chinese Journal of Inflammatory Bowel Diseases
2025;09(6):475-478
- CountryChina
- Language:Chinese
-
Abstract:
Inflammatory bowel disease (IBD) is a chronic, nonspecific inflammatory disease of the intestine. In recent years, the treatment goals for IBD have evolved from symptom control and endoscopic remission to histological remission, which is associated with significantly better prognoses. Current parameters for histological evaluation include the Nancy histological index (NHI), Geboes score (GS), Robarts histological index (RHI), and global histological activity score (GHAS). However, the evaluation of clinical histological remission remains limited by the lack of standardized criteria and poor reproducibility, hindering its widespread application. With the development of artificial intelligence (AI) technology, AI tools have been increasingly applied in histological evaluation of IBD and can be integrated with endoscopic and multi-omics approaches. This article reviews the current applications, research progress, and associated challenges of AI in the histological evaluation of IBD.
