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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/1948-5190/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 eraRevista Española de Enfermedades Digestivas 2022;  doi: 10.17235/reed.2022.8961/2022
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Slawomir Wozniak, Aleksander Pawlus, Joanna Grzelak, Slawomir Chobotow, Friedrich Paulsen, Cyprian Olchowy, Urszula Zaleska-Dorobisz. Acute colonic flexures: the basis for developing an artificial intelligence-based tool for predicting the course of colonoscopyAnatomical Science International 2023; 98(1): 136 doi: 10.1007/s12565-022-00681-8
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Fatemeh Moayedi, Javad Karimi, Seyed Ebrahim Dashti. CANCER PREDICTION IN INFLAMMATORY BOWEL DISEASE PATIENTS BY USING MACHINE LEARNING ALGORITHMSBiomedical Engineering: Applications, Basis and Communications 2023; 35(03) doi: 10.4015/S1016237223500114
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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 PerspectivesClinical and Experimental Gastroenterology 2021; : 333 doi: 10.2147/CEG.S293272
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Andrea Padoan, Giulia Musso, Nicole Contran, Daniela Basso. Inflammation, Autoinflammation and Autoimmunity in Inflammatory Bowel DiseasesCurrent Issues in Molecular Biology 2023; 45(7): 5534 doi: 10.3390/cimb45070350
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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 diseaseCell Regeneration 2023; 12(1) doi: 10.1186/s13619-022-00143-6
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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 prospectsFrontline Gastroenterology 2022; 13(4): 325 doi: 10.1136/flgastro-2021-102003
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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 EndoscopyMolecular Imaging and Biology 2023; 25(1): 18 doi: 10.1007/s11307-022-01741-1
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Otilia Gavrilescu, Iolanda Valentina Popa, Mihaela Dranga, Ruxandra Mihai, Cristina Cijevschi Prelipcean, Cătălina Mihai. Laboratory Data and IBDQ—Effective Predictors for the Non-Invasive Machine-Learning-Based Prediction of Endoscopic Activity in Ulcerative ColitisJournal of Clinical Medicine 2023; 12(11): 3609 doi: 10.3390/jcm12113609
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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 dataHighlights in BioScience 2022;  doi: 10.36462/H.BioSci.202202
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Niel Shah, Abhilasha Jyala, Harish Patel, Jasbir Makker. Utility of artificial intelligence in colonoscopyArtificial Intelligence in Gastrointestinal Endoscopy 2021; 2(3): 78 doi: 10.37126/aige.v2.i3.78
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17
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 KnowJournal of Crohn's and Colitis 2022; 16(3): 460 doi: 10.1093/ecco-jcc/jjab169
18
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19
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 applicationsPhytochemistry Reviews 2023;  doi: 10.1007/s11101-023-09866-z
20
Niel Shah, Abhilasha Jyala, Harish Patel, Jasbir Makker. Utility of artificial intelligence in colonoscopyArtificial Intelligence in Gastrointestinal Endoscopy 2021; 2(3): 79-88 doi: 10.37126/aige.v2.i3.79
21
Xiaojun Li, Lamei Yan, Xuehong Wang, Chunhui Ouyang, Chunlian Wang, Jun Chao, Jie Zhang, Guanghui Lian. Predictive models for endoscopic disease activity in patients with ulcerative colitis: Practical machine learning-based modeling and interpretationFrontiers in Medicine 2022; 9 doi: 10.3389/fmed.2022.1043412
22
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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 reviewEndoscopy International Open 2022; 10(07): E1004 doi: 10.1055/a-1846-0642
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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. Multiscale Multimodal Medical ImagingLecture Notes in Computer Science 2022; 13594: 24 doi: 10.1007/978-3-031-18814-5_3
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