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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/2308-3840/full/v27/i17/1920.htm
Number Citing Articles
1
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 StudyJournal of Clinical Medicine 2021; 10(20): 4745 doi: 10.3390/jcm10204745
2
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
3
Byung Soo Yoo, Steve M D'Souza, Kevin Houston, Ankit Patel, James Lau, Alsiddig Elmahdi, Parth J Parekh, David Johnson. Artificial intelligence and colonoscopy − enhancements and improvementsArtificial Intelligence in Gastrointestinal Endoscopy 2021; 2(4): 157-167 doi: 10.37126/aige.v2.i4.157
4
Jinan Fiaidhi, Petros Zezos, Sabah Mohammed. Thick Data Analytics for Rating Ulcerative Colitis Severity Using Small Endoscopy Image Sample2021 IEEE International Conference on Big Data (Big Data) 2021; : 4687 doi: 10.1109/BigData52589.2021.9671327
5
Kamila Majidova, Julia Handfield, Kamran Kafi, Ryan D. Martin, Ryszard Kubinski. Role of Digital Health and Artificial Intelligence in Inflammatory Bowel Disease: A Scoping ReviewGenes 2021; 12(10): 1465 doi: 10.3390/genes12101465
6
Sergei Bedrikovetski, Nagendra N. Dudi-Venkata, Hidde M. Kroon, Warren Seow, Ryash Vather, Gustavo Carneiro, James W. Moore, Tarik Sammour. Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysisBMC Cancer 2021; 21(1) doi: 10.1186/s12885-021-08773-w
7
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 diseaseDigestive and Liver Disease 2021;  doi: 10.1016/j.dld.2021.09.005
8
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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9
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 learningHuman Cell 2022; 35(1): 179 doi: 10.1007/s13577-021-00641-w
10
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 2021; : flgastro-2021-102003 doi: 10.1136/flgastro-2021-102003
11
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
12
Biljana Stankovic, Nikola Kotur, Gordana Nikcevic, Vladimir Gasic, Branka Zukic, Sonja Pavlovic. Machine Learning Modeling from Omics Data as Prospective Tool for Improvement of Inflammatory Bowel Disease Diagnosis and Clinical ClassificationsGenes 2021; 12(9): 1438 doi: 10.3390/genes12091438