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For:	Wang FT, Lin Y, Yuan XQ, Gao RY, Wu XC, Xu WW, Wu TQ, Xia K, Jiao YR, Yin L, Chen CQ. Predicting short-term major postoperative complications in intestinal resection for Crohn’s disease: A machine learning-based study. World J Gastrointest Surg 2024; 16(3): 717-730 [PMID: 38577067 DOI: 10.4240/wjgs.v16.i3.717]
URL:	https://www.wjgnet.com/1007-9327/full/v16/i3/717.htm

(143) (150) (0) (0) (0) (10) (3930) (13)

Number	Citing Articles
1	Constantin-Alexandru Petraru, Tudor Stroie, Doina Istratescu, Dan Pitigoi, Corina Gabriela Meianu, Rucsandra Ilinca-Diculescu, Mircea Diculescu. Biologic Therapy and Surgical Management in Crohn’s Disease: Postoperative Outcomes and Biologic Management Patterns in a Retrospective Cohort Study. Medicina 2026; 62(5) doi: 10.3390/medicina62050917
2	Josip Vrdoljak, Marino Vilovic, Roko Santic, Marko Kumric, Nikola Pavlovic, Ivan Males, Josko Bozic. How Ready Are Machine-Learning Prognostic Models for Inflammatory Bowel Disease? A Systematic Review and PROBAST + AI Appraisal of 111 Studies. Machine Learning and Knowledge Extraction 2026; 8(8) doi: 10.3390/make8080232
3	Bobuțac Eduard, Zaharie Delia Roxana, Vălean Dan, Emil Moiș, Călin Popa, Andra Ciocan, Nadim Al-Hajjar, Florin Zaharie. Risk Factors and Predictive Biomarkers for Postoperative Complications in Crohn’s Disease Surgery: Systematic Review. International Journal of Molecular Sciences 2026; 27(13) doi: 10.3390/ijms27135731
4	Andrew Paul Zbar. Can serious postoperative complications in patients with Crohn’s disease be predicted using machine learning?. World Journal of Gastrointestinal Surgery 2024; 16(10): 3358-3362 doi: 10.4240/wjgs.v16.i10.3358 Abstract(668) \| Core Tip(573) \| Full Article(HTML)(1397) \| Full Article (PDF)-384K(150) \| Full Article with Cover (PDF)-840K(127) \| Full Article (XML)-78K(117) \| Audio-3395K(23) \| Peer-Review Report-171K(106) \| Answering Reviewers-172K(119) \| Times Cited (0) \| Total Visits (1791) \| Open
5	Xiu Wang, Jianhua Peng, Peipei Cai, Yuxuan Xia, Chengxue Yi, Anquan Shang, Francis Atim Akanyibah, Fei Mao. The emerging role of the gut microbiota and its application in inflammatory bowel disease. Biomedicine & Pharmacotherapy 2024; 179 doi: 10.1016/j.biopha.2024.117302
6	Raffaele Pellegrino, Antonietta Gerarda Gravina. Machine learning as a tool predicting short-term postoperative complications in Crohn’s disease patients undergoing intestinal resection: What frontiers?. World Journal of Gastrointestinal Surgery 2024; 16(9): 2755-2759 doi: 10.4240/wjgs.v16.i9.2755 Abstract(536) \| Core Tip(575) \| Full Article(HTML)(1430) \| Full Article (PDF)-359K(147) \| Full Article with Cover (PDF)-709K(176) \| Full Article (XML)-62K(116) \| Audio-486K(28) \| Peer-Review Report-177K(107) \| Answering Reviewers-99K(116) \| Times Cited (3) \| Total Visits (1869) \| Open
7	Noha Alnazzawi. BERTDiseComp: A Clinical Language Model for Detecting Disease Complications in EHRs. 2025 International Conference on Electrical, Communication and Computer Engineering (ICECCE) 2025; doi: 10.1109/ICECCE67514.2025.11257959
8	Lu‐Yen Anny Chen, Shu‐Yi Wang, Shu‐Chuan Amy Lin. Predicting Postoperative Outcomes in Lower Gastrointestinal Surgery: A Machine Learning Approach Using Electronic Health Records. AORN Journal 2026; 123(1) doi: 10.1002/aorn.70000
9	Javier Arredondo Montero. From the mathematical model to the patient: The scientific and human aspects of artificial intelligence in gastrointestinal surgery. World Journal of Gastrointestinal Surgery 2024; 16(6): 1517-1520 doi: 10.4240/wjgs.v16.i6.1517 Abstract(640) \| Core Tip(673) \| Full Article(HTML)(1613) \| Full Article (PDF)-346K(171) \| Full Article with Cover (PDF)-808K(1893) \| Full Article (XML)-30K(133) \| Audio-5818K(25) \| Peer-Review Report-216K(120) \| Answering Reviewers-69K(113) \| Times Cited (1) \| Total Visits (3810) \| Open
10	Alvin T. George, David T. Rubin. Artificial Intelligence in Inflammatory Bowel Disease. Gastrointestinal Endoscopy Clinics of North America 2025; 35(2) doi: 10.1016/j.giec.2024.10.004
11	Li-Fan Zhang, Liu-Xiang Chen, Wen-Juan Yang, Bing Hu. Machine learning in predicting postoperative complications in Crohn’s disease. World Journal of Gastrointestinal Surgery 2024; 16(8): 2745-2747 doi: 10.4240/wjgs.v16.i8.2745 Abstract(586) \| Core Tip(620) \| Full Article(HTML)(1368) \| Full Article (PDF)-339K(139) \| Full Article with Cover (PDF)-778K(145) \| Full Article (Word)-19K(5) \| Full Article (XML)-25K(106) \| Audio-212K(20) \| Peer-Review Report-171K(102) \| Answering Reviewers-46K(98) \| Times Cited (0) \| Total Visits (1763) \| Open
12	Olga Maria Nardone, Fabiana Castiglione, Simone Maurea. Advancing perioperative optimization in Crohn's disease surgery with machine learning predictions. World Journal of Gastrointestinal Surgery 2024; 16(10): 3091-3093 doi: 10.4240/wjgs.v16.i10.3091 Abstract(603) \| Core Tip(720) \| Full Article(HTML)(1517) \| Full Article (PDF)-344K(151) \| Full Article with Cover (PDF)-801K(129) \| Full Article (XML)-36K(107) \| Audio-357K(34) \| Peer-Review Report-215K(108) \| Answering Reviewers-35K(90) \| Times Cited (1) \| Total Visits (1904) \| Open
13	Shi-Rong Lv, Xiao Huang, Li-Yun Zhou, Jie Shi, Chu-Chu Gong, Ming-Ke Wang, Ji-Shun Yang. Influencing factors and preventive measures of infectious complications after intestinal resection for Crohn’s disease. World Journal of Gastrointestinal Surgery 2024; 16(10): 3363-3370 doi: 10.4240/wjgs.v16.i10.3363 Abstract(572) \| Core Tip(619) \| Full Article(HTML)(1519) \| Full Article (PDF)-917K(154) \| Full Article with Cover (PDF)-1372K(202) \| Full Article (XML)-133K(143) \| Audio-1065K(26) \| Peer-Review Report-223K(123) \| Answering Reviewers-101K(115) \| Times Cited (0) \| Total Visits (2459) \| Open

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