BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
For: Okpete UE, Byeon H. Explainable artificial intelligence for personalized management of inflammatory bowel disease: A minireview of recent advances. World J Gastroenterol 2025; 31(35): 111033 [PMID: 41024759 DOI: 10.3748/wjg.v31.i35.111033]
URL: https://www.wjgnet.com/1007-9327/full/v31/i35/111033.htm
Number Citing Articles
1
青青 康. The Application Progress of Artificial Intelligence Empowering Multimodal Imaging in the Diagnosis and Treatment of Inflammatory Bowel DiseaseAdvances in Clinical Medicine 2026; 16(07) doi: 10.12677/acm.2026.1672729
2
Jeremy W. Stewart, Bradley A. Barth, Isabel Rojas. The utility of artificial intelligence in visualization of pediatric gastrointestinal mucosaFrontiers in Pediatrics 2026; 13 doi: 10.3389/fped.2025.1739000
3
Nivedita Kedari, Urjaswee Dey, Desai Sreenija, Samriddha Paul, Shambhavi Shakya, Rhitam Biswas, Sudha Ramaiah, Anand Anbarasu. AI/ML-enabled multi-omics integration of host genetics, immunity, and the gut microbiome in Crohn’s disease: From diagnosis to theranosticsSLAS Technology 2026; 40 doi: 10.1016/j.slast.2026.100452
4
Miguel Suarez, Raquel Martínez, Félix González-Martínez, Ana María Torres, Jorge Mateo. Artificial intelligence and digital transformation of gastroenterology and hepatology: A critical review of clinical applications and future challengesWorld Journal of Hepatology 2026; 18(2): 114834 doi: 10.4254/wjh.v18.i2.114834
5
Ziyu Yang, Jiayi Yao, Xinxian Zhao, Yan Xu, Yifan Chen, Tianchi Chen, Ying Jian, Min Li. Multi‐omics biomarkers for intestinal infection and inflammation in inflammatory bowel disease: Current evidence, translational challenges, and diagnostic opportunitiesInterdisciplinary Medicine 2026; 4(4) doi: 10.1002/inmd.70143