Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead

被引:11
|
作者
Sundaram, Suneha [3 ]
Choden, Tenzin [4 ]
Mattar, Mark C. [4 ]
Desai, Sanjal [5 ]
Desai, Madhav [1 ,2 ,3 ]
机构
[1] Univ Kansas, Kansas City VA Med Ctr, Med Clin, Sch Med, 4801 Linwood Blvd, Kansas City, MO 64128 USA
[2] Univ Kansas, Div Gastroenterol Hepatol & Motil, Dept Internal Med, Sch Med, Kansas City, KS 64128 USA
[3] Kansas City VA Med Ctr, Dept Gastroenterol, Kansas City, MO 64128 USA
[4] MedStar Georgetown Univ Hosp, Div Gastroenterol, Dept Med, Washington, DC USA
[5] Mayo Clin, Dept Hematol, Rochester, MN USA
关键词
artificial intelligence; endoscopy; inflammatory bowel disease; NEURAL-NETWORK; CROHNS-DISEASE; IMAGES; TIME;
D O I
10.1177/26317745211017809
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Inflammatory bowel disease is a complex chronic inflammatory disorder with challenges in diagnosis, choosing appropriate therapy, determining individual responsiveness, and prediction of future disease course to guide appropriate management. Artificial intelligence has been examined in the field of inflammatory bowel disease endoscopy with promising data in different domains of inflammatory bowel disease, including diagnosis, assessment of mucosal activity, and prediction of recurrence and complications. Artificial intelligence use during endoscopy could be a step toward precision medicine in inflammatory bowel disease care pathways. We reviewed available data on use of artificial intelligence for diagnosis of inflammatory bowel disease, grading of severity, prediction of recurrence, and dysplasia detection. We examined the potential role of artificial intelligence enhanced endoscopy in various aspects of inflammatory bowel disease care and future perspectives in this review.
引用
收藏
页数:8
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