Inflammatory bowel disease encompasses Crohn’s disease and ulcerative colitis and is characterized by uncontrolled, relapsing, and remitting course of inflammation in the gastrointestinal tract. Artificial intelligence represents a new era within the field of gastroenterology, and the amount of research surrounding artificial intelligence in patients with inflammatory bowel disease is on the rise. As clinical trial outcomes and treatment targets evolve in inflammatory bowel disease, artificial intelligence may prove as a valuable tool for providing accurate, consistent, and reproducible evaluations of endoscopic appearance and histologic activity, thereby optimizing the diagnosis process and identifying disease severity. Furthermore, as the applications of artificial intelligence for inflammatory bowel disease continue to expand, they may present an ideal opportunity for improving disease management by predicting treatment response to biologic therapies and for refining the standard of care by setting the basis for future treatment personalization and cost reduction. The purpose of this review is to provide an overview of the unmet needs in the management of inflammatory bowel disease in clinical practice and how artificial intelligence tools can address these gaps to transform patient care.
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Citations to this article as recorded by
Structured Integration of an Artificial Intelligence-Based System for the Optical Diagnosis of Colorectal Polyps Hae Yeon Kang, Soonwhan Kang, Goh Eun Chung, Dong Hoon Baek, Hong Sub Lee, Jinbae Park, Sun Young Yang, Seon Hee Lim, Ji Min Choi, Jung Kim, Jung Ho Bae Gut and Liver.2026; 20(1): 86. CrossRef
Deep Learning Model Using Stool Pictures for Predicting Endoscopic Mucosal Inflammation in Patients With Ulcerative Colitis Jung Won Lee, Dongwon Woo, Kyeong Ok Kim, Eun Soo Kim, Sung Kook Kim, Hyun Seok Lee, Ben Kang, Yoo Jin Lee, Jeongseok Kim, Byung Ik Jang, Eun Young Kim, Hyeong Ho Jo, Yun Jin Chung, Hanjun Ryu, Soo-Kyung Park, Dong-Il Park, Hosang Yu, Sungmoon Jeong American Journal of Gastroenterology.2025; 120(1): 213. CrossRef
The Role of Artificial Intelligence and Big Data for Gastrointestinal Disease Nicholas Mathew Holt, Michael Francis Byrne Gastrointestinal Endoscopy Clinics of North America.2025; 35(2): 291. CrossRef
Ulcerative Colitis Severity Classification and Localized Extent (UC-SCALE): An Artificial Intelligence Scoring System for a Spatial Assessment of Disease Severity in Ulcerative Colitis Benjamin Gutierrez-Becker, Stefan Fraessle, Heming Yao, Jerome Luscher, Rafal Girycki, Bartosz Machura, Janusz Czornik, Jaroslaw Goslinsky, Marek Pitura, Steven Levitte, Josep Arús-Pous, Emily Fisher, Daniela Bojic, David Richmond, Amelie E Bigorgne, Marc Journal of Crohn's and Colitis.2025;[Epub] CrossRef
Artificial intelligence–enabled histology exhibits comparable accuracy to pathologists in assessing histological remission in ulcerative colitis: a systematic review, meta-analysis, and meta-regression Miguel Puga-Tejada, Snehali Majumder, Yasuharu Maeda, Irene Zammarchi, Ilaria Ditonno, Giovanni Santacroce, Ivan Capobianco, Carlos Robles-Medranda, Subrata Ghosh, Marietta Iacucci Journal of Crohn's and Colitis.2025;[Epub] CrossRef
Artificial intelligence to revolutionize IBD clinical trials: a comprehensive review Rocio Sedano, Virginia Solitano, Sudheer K. Vuyyuru, Yuhong Yuan, Jurij Hanžel, Christopher Ma, Olga Maria Nardone, Vipul Jairath Therapeutic Advances in Gastroenterology.2025;[Epub] CrossRef
The global research of artificial intelligence on inflammatory bowel disease: A bibliometric analysis Suqi Zeng, Chenyu Dong, Chuan Liu, Junhai Zhen, Yu Pu, Jiaming Hu, Weiguo Dong DIGITAL HEALTH.2025;[Epub] CrossRef
Rediscovering histology – the application of artificial intelligence in inflammatory bowel disease histologic assessment Giovanni Santacroce, Irene Zammarchi, Olga Maria Nardone, Ivan Capobianco, Miguel Puga-Tejada, Snehali Majumder, Subrata Ghosh, Marietta Iacucci Therapeutic Advances in Gastroenterology.2025;[Epub] CrossRef
Possibilities of using artificial intelligence technologies in the morphological diagnosis of inflammatory bowel diseases (literature review) E. G. Churilova, A. B. Kazumova, Kh. M. Akhrieva, N. V. Pachuasvili, A. S. Tertychnyy Bulletin of the Medical Institute "REAVIZ" (REHABILITATION, DOCTOR AND HEALTH).2025; 15(1): 22. CrossRef
Mining Transcriptional Data for Precision Medicine: Bioinformatics Insights into Inflammatory Bowel Disease Arman Shahriari, Shokoofeh Amirzadeh Shams, Hamidreza Mahboobi, Maryam Yazdanparast, Amirreza Jabbaripour Sarmadian Current Bioinformatics.2025; 20(4): 289. CrossRef
Synergies Among Clinicians, Academia, and Industry in the Age of Artificial Intelligence Michael F. Byrne, Jens Rittscher, James E. East Gastroenterology.2025; 169(3): 531. CrossRef
Diagnostic Methods and Biomarkers in Inflammatory Bowel Disease Andrew M. Kaz, Nanda Venu Diagnostics.2025; 15(11): 1303. CrossRef
Artificial intelligence in inflammatory bowel disease endoscopy – a review of current evidence and a critical perspective on future challenges Ilaria Lodola, Ferdinando D’Amico, Silvio Danese, Tommaso Lorenzo Parigi Therapeutic Advances in Gastroenterology.2025;[Epub] CrossRef
Artificial intelligence in inflammatory bowel disease: innovations in diagnosis, monitoring, and personalized care Raseen Tariq, Anita Afzali Therapeutic Advances in Gastroenterology.2025;[Epub] CrossRef
A pilot evaluation of the artificial intelligence system CAD-EYE to optically characterise lesions in inflammatory bowel disease surveillance Sherman Picardo, Shankar Menon, Kenji So, Kannan Venugopal, Wendy Cheng, Krish Ragunath Therapeutic Advances in Gastrointestinal Endoscopy.2025;[Epub] CrossRef
Role of Artificial Intelligence in Gastroenterology Training (2005–2025): Trends, Tools, and Challenges Faiq Farooq, Muhammad Usman Tufail Warraich, Muhammad Moiz Ud Din, Nabeel Saleem, Muhammad Salman Asif, Haroon Khan Cureus.2025;[Epub] CrossRef
Evolution of inflammatory bowel disease in Korea: a 60-year perspective on clinical and research development Suk-Kyun Yang Intestinal Research.2025; 23(3): 233. CrossRef
Explainable artificial intelligence for personalized management of inflammatory bowel disease: A minireview of recent advances Uchenna E Okpete, Haewon Byeon World Journal of Gastroenterology.2025;[Epub] CrossRef
Artificial intelligence in gastrointestinal endoscopy: current evidence and future directions Mehwish Jamil, Qian Li Therapeutic Advances in Gastrointestinal Endoscopy.2025;[Epub] CrossRef
The Histological Detection of Ulcerative Colitis Using a No-Code Artificial Intelligence Model Yuichiro Hamamoto, Michihiro Kawamura, Hiroki Uchida, Kazuhiro Hiramatsu, Chiaki Katori, Hinako Asai, Shigeki Shimizu, Satoshi Egawa, Kyotaro Yoshida International Journal of Surgical Pathology.2024; 32(5): 890. CrossRef
Could histologic healing be a new treatment target in patients with ulcerative colitis? Soyoung Kim, Sang Hyoung Park The Korean Journal of Internal Medicine.2024; 39(1): 2. CrossRef
Machine learning in the assessment and management of acute gastrointestinal bleeding Gaurav Bhaskar Nigam, Michael F Murphy, Simon P L Travis, Adrian J Stanley BMJ Medicine.2024; 3(1): e000699. CrossRef
The Role of Artificial Intelligence in the Diagnosis and Treatment of Ulcerative Colitis Petar Uchikov, Usman Khalid, Nikola Vankov, Maria Kraeva, Krasimir Kraev, Bozhidar Hristov, Milena Sandeva, Snezhanka Dragusheva, Dzhevdet Chakarov, Petko Petrov, Bistra Dobreva-Yatseva, Ivan Novakov Diagnostics.2024; 14(10): 1004. CrossRef
Artificial intelligence and endo-histo-omics: new dimensions of precision endoscopy and histology in inflammatory bowel disease Marietta Iacucci, Giovanni Santacroce, Irene Zammarchi, Yasuharu Maeda, Rocío Del Amor, Pablo Meseguer, Bisi Bode Kolawole, Ujwala Chaudhari, Antonio Di Sabatino, Silvio Danese, Yuichi Mori, Enrico Grisan, Valery Naranjo, Subrata Ghosh The Lancet Gastroenterology & Hepatology.2024; 9(8): 758. CrossRef
Summary of the best evidence on self-management support schemes for patients with inflammatory bowel disease based on mobile health systems Chenfei Ren, Yunxian Zhou, Qian Cai, Mi Zhou DIGITAL HEALTH.2024;[Epub] CrossRef
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Dye-based chromoendoscopy detects more neoplasia than white light endoscopy
in patients with primary sclerosing cholangitis and IBD Rodrigo V Motta, Vipin Gupta, Karen Hartery, Paul Bassett, Simon J Leedham, Roger W Chapman, Simon PL Travis, Emma L Culver, James E. East Endoscopy International Open.2024; 12(11): E1285. CrossRef
Potential Oral Microbial Markers for Differential Diagnosis of Crohn’s Disease and Ulcerative Colitis Using Machine Learning Models Sang-Bum Kang, Hyeonwoo Kim, Sangsoo Kim, Jiwon Kim, Soo-Kyung Park, Chil-Woo Lee, Kyeong Ok Kim, Geom-Seog Seo, Min Suk Kim, Jae Myung Cha, Ja Seol Koo, Dong-Il Park Microorganisms.2023; 11(7): 1665. CrossRef