Progress and applications of artificial intelligence in inflammatory bowel disease
10.3760/cma.j.cn101480-20220717-00114
- VernacularTitle:人工智能在炎症性肠病中的应用进展
- Author:
Mingzhu MENG
1
;
Wenjia LIU
Author Information
1. 南京医科大学附属常州第二人民医院影像科，常州 213164
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Machine learning;
Inflammatory bowel disease;
Diagnosis
- From:
Chinese Journal of Inflammatory Bowel Diseases
2023;07(2):164-167
- CountryChina
- Language:Chinese
-
Abstract:
Inflammatory bowel disease (IBD) is a complex, immune-mediated gastrointestinal disorder with ill-defined etiology, multifaceted diagnostic criteria, and unpredictable treatment response. Innovations in IBD diagnostics include developments in genomic sequencing, molecular analytics and gastrointestinal imaging, and have leverage above large data platforms to develop clinically meaningful artificial intelligence (AI) tools. Artificial intelligence, through machine learning, facilitates the interpretation of large arrays of data, and provides insight to improve IBD outcomes, especially with the application of deep learning. This review aims to summarize the recent progress of artificial intelligence in inflammatory bowel disease and its applications.
