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For: Gubatan J, Levitte S, Patel A, Balabanis T, Wei MT, Sinha SR. Artificial intelligence applications in inflammatory bowel disease: Emerging technologies and future directions. World J Gastroenterol 2021; 27(17): 1920-1935 [PMID: 34007130 DOI: 10.3748/wjg.v27.i17.1920]
URL: https://www.wjgnet.com/1007-9327/full/v27/i17/1920.htm
Number Citing Articles
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Oswaldo Ortiz Zúñiga, María Gl�ria Fernández Esparrach, María Daca, María Pellisé. Artificial intelligence in gastrointestinal endoscopy: evolution to a new era. Revista Española de Enfermedades Digestivas 2022;  doi: 10.17235/reed.2022.8961/2022
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Pedro Cardoso, Miguel Mascarenhas, João Afonso, Tiago Ribeiro, Francisco Mendes, Miguel Martins, Patrícia Andrade, Hélder Cardoso, Miguel Mascarenhas Saraiva, João P.S. Ferreira, Guilherme Macedo. Deep learning and minimally invasive inflammatory activity assessment: a proof-of-concept study for development and score correlation of a panendoscopy convolutional network. Therapeutic Advances in Gastroenterology 2024; 17 doi: 10.1177/17562848241251569
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Anvesha Garg, Noopur Pandey, Sumeet Kaur, M. Kulandhaivel, G. Arun Francis, Shruthi K Bekal, Ling Shing Wong. Machine Learning’s Impact on Advancing Gastrointestinal Diagnosis and Therapeutic Approaches. 2025 Asian Conference on Communication and Networks (ASIANComNet) 2025;  doi: 10.1109/ASIANComNet68615.2025.11579596
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YANGMIN ZUO. ARTIFICIAL INTELLIGENCE-DRIVEN ENHANCEMENT OF SPORTS WELLNESS IN THE ELDERLY VIA AN ADAPTIVE TRANSFER LEARNING-BASED BACKPROPAGATION NEURAL NETWORK. Journal of Mechanics in Medicine and Biology 2026;  doi: 10.1142/S0219519426500387
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Fatemeh Moayedi, Javad Karimi, Seyed Ebrahim Dashti. CANCER PREDICTION IN INFLAMMATORY BOWEL DISEASE PATIENTS BY USING MACHINE LEARNING ALGORITHMS. Biomedical Engineering: Applications, Basis and Communications 2023; 35(03) doi: 10.4015/S1016237223500114
7
Andrea Padoan, Giulia Musso, Nicole Contran, Daniela Basso. Inflammation, Autoinflammation and Autoimmunity in Inflammatory Bowel Diseases. Current Issues in Molecular Biology 2023; 45(7) doi: 10.3390/cimb45070350
8
Liru Chen, Chuhan Zhang, Ruixuan Niu, Shanshan Xiong, Jinshen He, Yu Wang, Pingxin Zhang, Fengyuan Su, Zishan Liu, Longyuan Zhou, Ren Mao, Shixian Hu, Minhu Chen, Yun Qiu, Rui Feng. Multi‐Omics Biomarkers for Predicting Efficacy of Biologic and Small‐Molecule Therapies in Adults With Inflammatory Bowel Disease: A Systematic Review. United European Gastroenterology Journal 2025; 13(4) doi: 10.1002/ueg2.12720
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Johanne Brooks-Warburton, James Ashton, Anjan Dhar, Tony Tham, Patrick B Allen, Sami Hoque, Laurence B Lovat, Shaji Sebastian. Artificial intelligence and inflammatory bowel disease: practicalities and future prospects. Frontline Gastroenterology 2022; 13(4) doi: 10.1136/flgastro-2021-102003
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Hiroki Kiyokawa, Masatoshi Abe, Takahiro Matsui, Masako Kurashige, Kenji Ohshima, Shinichiro Tahara, Satoshi Nojima, Takayuki Ogino, Yuki Sekido, Tsunekazu Mizushima, Eiichi Morii. Deep Learning Analysis of Histologic Images from Intestinal Specimen Reveals Adipocyte Shrinkage and Mast Cell Infiltration to Predict Postoperative Crohn Disease. The American Journal of Pathology 2022; 192(6) doi: 10.1016/j.ajpath.2022.03.006
11
Judith A. Stibbe, Petra Hoogland, Friso B. Achterberg, Derek R. Holman, Raoul S. Sojwal, Jacobus Burggraaf, Alexander L. Vahrmeijer, Wouter B. Nagengast, Stephan Rogalla. Highlighting the Undetectable — Fluorescence Molecular Imaging in Gastrointestinal Endoscopy. Molecular Imaging and Biology 2023; 25(1) doi: 10.1007/s11307-022-01741-1
12
Jiayi Sun, Junhai Zhen, Chuan Liu, Changqing Jiang, Jie Shi, Kaichun Wu, Weiguo Dong. Evaluation of inflammatory bowel disease-related sleep disorders based on an interpretable machine learning approach: a multicenter study in China. Therapeutic Advances in Gastroenterology 2025; 18 doi: 10.1177/17562848251359141
13
Wafaa Badre, Fatima-Zahra El Rhaoussi, Mohamed Tahiri. Anatomical and Functional Aspects of the Bowel [Working Title]. 2026;  doi: 10.5772/intechopen.1014215
14
Lili Guo, Kuang Fu, Wenjia Wang, Li Zhou, Lu Chen, Miaomiao Jiang. Deep learning model for predicting lymph node metastasis around rectal cancer based on rectal tumor core area and mesangial imaging features. BMC Medical Imaging 2025; 25(1) doi: 10.1186/s12880-025-01878-9
15
Weizhi Zhong, Jupeng Gong, Qiaoling Su, Mohamed A. Farag, Jesus Simal-Gandara, Hui Wang, Hui Cao. Dietary polyphenols ameliorate inflammatory bowel diseases: advances and future perspectives to maximize their nutraceutical applications. Phytochemistry Reviews 2025; 24(2) doi: 10.1007/s11101-023-09866-z
16
John Martin, Vasu Appalaneni, Ekta Gupta, Inessa Khaykis. Practical and Impactful Tips for Private Industry Collaborations With Gastroenterology Practices. Clinical Gastroenterology and Hepatology 2025; 23(7) doi: 10.1016/j.cgh.2025.01.021
17
Niel Shah, Abhilasha Jyala, Harish Patel, Jasbir Makker. Utility of artificial intelligence in colonoscopy. Artificial Intelligence in Gastrointestinal Endoscopy 2021; 2(3): 79-88 doi: 10.37126/aige.v2.i3.79
18
Nouhaila En Najih, Pr. Ahmed Moussa. New Technologies, Artificial Intelligence and Smart Data. Communications in Computer and Information Science 2024; 1728 doi: 10.1007/978-3-031-47366-1_1
19
Mohamed Abdelrahim, Katie Siggens, Yuji Iwadate, Naoto Maeda, Hein Htet, Pradeep Bhandari. New AI model for neoplasia detection and characterisation in inflammatory bowel disease. Gut 2024; 73(5) doi: 10.1136/gutjnl-2023-330718
20
Jovita Relasha Lewis, Sameena Pathan, Preetham Kumar, Cifha Crecil Dias. AI in Endoscopic Gastrointestinal Diagnosis: A Systematic Review of Deep Learning and Machine Learning Techniques. IEEE Access 2024; 12 doi: 10.1109/ACCESS.2024.3483432
21
Linda S. Yang, Evelyn Perry, Leonard Shan, Helen Wilding, William Connell, Alexander J. Thompson, Andrew C. F. Taylor, Paul V. Desmond, Bronte A. Holt. Clinical application and diagnostic accuracy of artificial intelligence in colonoscopy for inflammatory bowel disease: systematic review. Endoscopy International Open 2022; 10(07) doi: 10.1055/a-1846-0642
22
Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo. Cross-scale multi-instance learning for pathological image diagnosis. Medical Image Analysis 2024; 94 doi: 10.1016/j.media.2024.103124
23
Jiajie Lu, Zhiyuan Wang, Munila Maimaiti, Wenjia Hui, Adilai Abudourexiti, Feng Gao. Identification of diagnostic signatures in ulcerative colitis patients via bioinformatic analysis integrated with machine learning. Human Cell 2021; 35(1) doi: 10.1007/s13577-021-00641-w
24
Axel Dignass, Neeraj Narula, Krishan Pratap, Silvio Danese, Iris Dotan, Marietta Iacucci, Vipul Jairath, Edward V Loftus, Fernando Magro, Gerassimos Mantzaris, Laurent Peyrin-Biroulet, David T Rubin, Bruce E Sands, Dan Turner, Walter Reinisch. IOlBD evidence-based consensus on the use of artificial intelligence for assessment of endoscopic and histologic endpoints in clinical trials of inflammatory bowel disease. Journal of Crohn's and Colitis 2026; 20(3) doi: 10.1093/ecco-jcc/jjag007
25
Philippe Pinton. Impact of artificial intelligence on prognosis, shared decision-making, and precision medicine for patients with inflammatory bowel disease: a perspective and expert opinion. Annals of Medicine 2023; 55(2) doi: 10.1080/07853890.2023.2300670
26
Sebastian Kraszewski, Witold Szczurek, Julia Szymczak, Monika Reguła, Katarzyna Neubauer. Machine Learning Prediction Model for Inflammatory Bowel Disease Based on Laboratory Markers. Working Model in a Discovery Cohort Study. Journal of Clinical Medicine 2021; 10(20) doi: 10.3390/jcm10204745
27
Elin Synnøve Røyset, Henrik P Sahlin Pettersen, Weili Xu, Anis Larbi, Arne K Sandvik, Sonja E Steigen, Ignacio Catalan‐Serra, Ingunn Bakke. Deep learning‐based image analysis reveals significant differences in the number and distribution of mucosal CD3 and γδ T cells between Crohn's disease and ulcerative colitis. The Journal of Pathology: Clinical Research 2023; 9(1) doi: 10.1002/cjp2.301
28
Yun Qiu, Shixian Hu, Kang Chao, Lingjie Huang, Zicheng Huang, Ren Mao, Fengyuan Su, Chuhan Zhang, Xiaoqing Lin, Qian Cao, Xiang Gao, Minhu Chen. Developing a Machine-Learning Prediction Model for Infliximab Response in Crohn’s Disease: Integrating Clinical Characteristics and Longitudinal Laboratory Trends. Inflammatory Bowel Diseases 2025; 31(5) doi: 10.1093/ibd/izae176
29
Abeer Aljohani, Nawaf Alharbe, Rabia Emhamed Al Mamlook, Mashael M. Khayyat. A hybrid combination of CNN Attention with optimized random forest with grey wolf optimizer to discriminate between Arabic hateful, abusive tweets. Journal of King Saud University - Computer and Information Sciences 2024; 36(2) doi: 10.1016/j.jksuci.2024.101961
30
Jalpa Devi, Sami Samaan, Gaurav Syal, Parakkal Deepak. Biomarkers for Disease Activity in Inflammatory Bowel Disease. Gastroenterology Clinics of North America 2026; 55(1) doi: 10.1016/j.gtc.2025.08.003
31
Yi Fei Chen, Liu Liu, Bin Lyu, Ye Yang, Si Si Zheng, Xuan Huang, Yi Xu, Yi Hong Fan. Role of artificial intelligence in Crohn's disease intestinal strictures and fibrosis. Journal of Digestive Diseases 2024; 25(8) doi: 10.1111/1751-2980.13308
32
Karakasidis Efstathios. Forecast trend of artificial intelligence and machine learning technology: prospects and implications in the field of gastrointestinal endoscopy. Health and Technology 2025; 15(4) doi: 10.1007/s12553-025-00997-1
33
Qingde Zhou, Lan Lan, Wei Wang, Xinchang Xu. Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods. BMC Medical Informatics and Decision Making 2025; 25(1) doi: 10.1186/s12911-025-02853-8
34
Livia Moreira Genaro, Juliana Carron, Gustavo Jacob Lourenço, Cristiane Kibune Nagasako, Glaucia Fernanda Soares Rupert Reis, Michel Gardere Camargo, Priscilla de Sene Portel Oliveira, Carmen Silvia Passos Lima, Maria de Lourdes Setsuko Ayrizono, Anibal Tavares de Azevedo, Raquel Franco Leal. Interpretable Artificial Neural Network Models for Predicting Anti-Adalimumab Immune Complex and Serum Drug Level in Crohn’s Disease: A Proof-of-Concept Study. Pharmaceutics 2025; 17(12) doi: 10.3390/pharmaceutics17121536
35
Guman Singh Chauhan, Venkata Surya Teja Gollapalli, Kannan Srinivasan, Rahul Jadon, Gamachis Ragasa Gutata. Privacy and Data Protection: Ensuring Compliance with Federated Learning in the Digital Age. Journal of Science & Technology 2025; 10(07) doi: 10.46243/jst.2025.v10.i07.pp29-36
36
Mohammed Al-Biltagi, Nermin Kamal Saeed, Samara Qaraghuli. Gastrointestinal disorders in children with autism: Could artificial intelligence help?. Artificial Intelligence in Gastroenterology 2022; 3(1): 1-12 doi: 10.35712/aig.v3.i1.1
37
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 challenges. World Journal of Hepatology 2026; 18(2): 114834 doi: 10.4254/wjh.v18.i2.114834
38
Divyanshi Sood, Zenab Muhammad Riaz, Jahnavi Mikkilineni, Narendra Nath Ravi, Vineeta Chidipothu, Gayathri Yerrapragada, Poonguzhali Elangovan, Mohammed Naveed Shariff, Thangeswaran Natarajan, Jayarajasekaran Janarthanan, Naghmeh Asadimanesh, Shiva Sankari Karuppiah, Keerthy Gopalakrishnan, Shivaram P. Arunachalam. Prospects of AI-Powered Bowel Sound Analytics for Diagnosis, Characterization, and Treatment Management of Inflammatory Bowel Disease. Medical Sciences 2025; 13(4) doi: 10.3390/medsci13040230
39
Maurizio Cè, Natascha Claudia D'Amico, Giulia Maria Danesini, Chiara Foschini, Giancarlo Oliva, Carlo Martinenghi, Michaela Cellina. Ultrasound Elastography: Basic Principles and Examples of Clinical Applications with Artificial Intelligence—A Review. BioMedInformatics 2023; 3(1) doi: 10.3390/biomedinformatics3010002
40
Aldo Marzullo, Victor Savevski, Maddalena Menini, Alessandro Schilirò, Gianluca Franchellucci, Arianna Dal Buono, Cristina Bezzio, Roberto Gabbiadini, Cesare Hassan, Alessandro Repici, Alessandro Armuzzi. Collecting and Analyzing IBD Clinical Data for Machine-Learning: Insights from an Italian Cohort. Data 2025; 10(7) doi: 10.3390/data10070100
41
Ami Kawamoto, Kento Takenaka, Ryuichi Okamoto, Mamoru Watanabe, Kazuo Ohtsuka. Systematic review of artificial intelligence‐based image diagnosis for inflammatory bowel disease. Digestive Endoscopy 2022; 34(7) doi: 10.1111/den.14334
42
Maheeba Abdulla, Nafeesa Mohammed. A Review on Inflammatory Bowel Diseases: Recent Molecular Pathophysiology Advances. Biologics: Targets and Therapy 2022;  doi: 10.2147/BTT.S380027
43
Priyanka Raju Chougule, Sukesh Narayan Sinha. Next-generation non-animal models for inflammatory bowel disease: In vitro and in silico approaches for mechanistic understanding. NAM Journal 2025; 1 doi: 10.1016/j.namjnl.2025.100051
44
Tanya Sinha, Zukhruf Zain, Syed Faqeer Hussain Bokhari, Sarosh Waheed, Taufiqa Reza, Anthony Eze-Odurukwe, Mitwa Patel, Mohammed Khaleel I KH Almadhoun , Azlaan Hussain, Ibrahim Reyaz. Navigating the Gut-Cardiac Axis: Understanding Cardiovascular Complications in Inflammatory Bowel Disease. Cureus 2024;  doi: 10.7759/cureus.55268
45
Enhui Chai, Xinyu Gu, Zheng Lu, Tianxiang Cui. CellMixer: Pathological image classification using dual-branch VMamba with randomly mixing gradient features data augmentation. Expert Systems with Applications 2026; 310 doi: 10.1016/j.eswa.2026.131298
46
Gerardo Alfonso Perez, Raquel Castillo. Gene Identification in Inflammatory Bowel Disease via a Machine Learning Approach. Medicina 2023; 59(7) doi: 10.3390/medicina59071218
47
Ya-Xiong Guo, Xiong Yan, Xu-Chang Liu, Yu-Xiang Liu, Chun Liu. Artificial intelligence-driven strategies for managing renal and urinary complications in inflammatory bowel disease. World Journal of Nephrology 2025; 14(1): 100825 doi: 10.5527/wjn.v14.i1.100825
48
Kamila Majidova, Julia Handfield, Kamran Kafi, Ryan D. Martin, Ryszard Kubinski. Role of Digital Health and Artificial Intelligence in Inflammatory Bowel Disease: A Scoping Review. Genes 2021; 12(10) doi: 10.3390/genes12101465
49
Laetitia Ricci, Yannick Toussaint, Justine Becker, Hiba Najjar, Alix Renier, Myriam Choukour, Anne Buisson, Corinne Devos, Jonathan Epstein, Laurent Peyrin Biroulet, Francis Guillemin. Web-based and machine learning approaches for identification of patient-reported outcomes in inflammatory bowel disease. Digestive and Liver Disease 2022; 54(4) doi: 10.1016/j.dld.2021.09.005
50
Anwar Almajdi, Mohammad Shehab. From Conventional Therapy to Precision Medicine in Inflammatory Bowel Disease: A State-of-the-Art Review. Biomedicines 2026; 14(4) doi: 10.3390/biomedicines14040798
51
Nurulamin M Noor, Marco Daperno, Jan de Laffolie, Aart Mookhoek, Pieter Sinonquel, Uri Kopylov, Bram Verstockt, Alaa El-Hussuna, Kapil Sahnan, Mariangela Allocca, Peter Bossuyt, Dan Carter, Arzu Ensari, Marietta Iacucci, Urko M Marigorta, Daniele Noviello, Gianluca Pellino, Alessandra Soriano, Isabelle Cleynen, Tim Raine, Shaji Sebastian, Daniel C Baumgart. Results of the Ninth Scientific Workshop of the European Crohn’s and Colitis Organisation (ECCO): artificial intelligence in IBD: regulatory and methodological considerations. Journal of Crohn’s and Colitis 2026; 20(4) doi: 10.1093/ecco-jcc/jjaf136
52
Fernando Gomollón, Javier P. Gisbert, Iván Guerra, Rocío Plaza, Ramón Pajares Villarroya, Luis Moreno Almazán, Mª Carmen López Martín, Mercedes Domínguez Antonaya, María Isabel Vera Mendoza, Jesús Aparicio, Vicente Martínez, Ignacio Tagarro, Alonso Fernández-Nistal, Sara Lumbreras, Claudia Maté, Carmen Montoto. Clinical characteristics and prognostic factors for Crohn’s disease relapses using natural language processing and machine learning: a pilot study. European Journal of Gastroenterology & Hepatology 2022; 34(4) doi: 10.1097/MEG.0000000000002317
53
Lusine Khachatryan, Yang Xiang, Artem Ivanov, Enrico Glaab, Garrett Graham, Ilaria Granata, Maurizio Giordano, Lucia Maddalena, Marina Piccirillo, Ichcha Manipur, Giacomo Baruzzo, Marco Cappellato, Batiste Avot, Adrian Stan, James Battey, Giuseppe Lo Sasso, Stephanie Boue, Nikolai V. Ivanov, Manuel C. Peitsch, Julia Hoeng, Laurent Falquet, Barbara Di Camillo, Mario R. Guarracino, Vladimir Ulyantsev, Nicolas Sierro, Carine Poussin. Results and lessons learned from the sbv IMPROVER metagenomics diagnostics for inflammatory bowel disease challenge. Scientific Reports 2023; 13(1) doi: 10.1038/s41598-023-33050-0
54
Stephen Spatz, Claudio L. Afonso. Non-Targeted RNA Sequencing: Towards the Development of Universal Clinical Diagnosis Methods for Human and Veterinary Infectious Diseases. Veterinary Sciences 2024; 11(6) doi: 10.3390/vetsci11060239
55
Antonio Mestrovic, Nikola Perkovic, Dorotea Bozic, Marko Kumric, Marino Vilovic, Josko Bozic. Precision Medicine in Inflammatory Bowel Disease: A Spotlight on Emerging Molecular Biomarkers. Biomedicines 2024; 12(7) doi: 10.3390/biomedicines12071520
56
Debasree Sarkar. Artificial Intelligence for Multi-omics Analysis Part B. Progress in Molecular Biology and Translational Science 2026; 222 doi: 10.1016/bs.pmbts.2026.02.003
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John Gubatan, Kian Keyashian, Samuel JS Rubin, Jenny Wang, Cyrus Buckman, Sidhartha Sinha. Anti-Integrins for the Treatment of Inflammatory Bowel Disease: Current Evidence and Perspectives. Clinical and Experimental Gastroenterology 2021;  doi: 10.2147/CEG.S293272
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Xiao Bai, Yunran Guo, Xinmao Zhu, Dongqiu Dai. Autoimmune diseases and risk of gastrointestinal cancer: an umbrella review of meta-analyses of observational studies. International Journal of Surgery 2025; 111(2) doi: 10.1097/JS9.0000000000002219
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Shicheng Yu, Mengxian Zhang, Zhaofeng Ye, Yalong Wang, Xu Wang, Ye-Guang Chen. Development of a 32-gene signature using machine learning for accurate prediction of inflammatory bowel disease. Cell Regeneration 2023; 12(1) doi: 10.1186/s13619-022-00143-6
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Albert E. Jergens, Romy M. Heilmann. Canine chronic enteropathy—Current state-of-the-art and emerging concepts. Frontiers in Veterinary Science 2022; 9 doi: 10.3389/fvets.2022.923013
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Kristoffer Mazanti Cold, Anishan Vamadevan, Amihai Heen, Andreas Slot Vilmann, Morten Rasmussen, Lars Konge, Morten Bo Søndergaard Svendsen. Is the Transverse Colon Overlooked? Establishing a Comprehensive Colonoscopy Database from a Multicenter Cluster-Randomized Controlled Trial. Diagnostics 2025; 15(5) doi: 10.3390/diagnostics15050591
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Khaled H. Mousa, Ahmed E. Nassar. Identification of hub genes and potential molecular mechanisms associated with inflammatory bowel diseases using meta-analysis of gene expression data. Highlights in BioScience 2022;  doi: 10.36462/H.BioSci.202202
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David Chen, Clifton Fulmer, Ilyssa O Gordon, Sana Syed, Ryan W Stidham, Niels Vande Casteele, Yi Qin, Katherine Falloon, Benjamin L Cohen, Robert Wyllie, Florian Rieder. Application of Artificial Intelligence to Clinical Practice in Inflammatory Bowel Disease – What the Clinician Needs to Know. Journal of Crohn's and Colitis 2022; 16(3) doi: 10.1093/ecco-jcc/jjab169
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Eva Vermeer, Jasmijn Z. Jagt, Eline M. Lap, Eduard A. Struys, Andries E. Budding, Nanda M. Verhoeven-Duif, Marjolein Bosma, Johan E. van Limbergen, Bart G.P. Koot, Robert de Jonge, Marc A. Benninga, Animesh Acharjee, Nanne K.H. de Boer, Tim G.J. de Meij. Fecal gut microbiota and amino acids as noninvasive diagnostic biomarkers of Pediatric inflammatory bowel disease. Gut Microbes 2025; 17(1) doi: 10.1080/19490976.2025.2517828
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