| For: | Cocca S, Pontillo G, Grande G, Conigliaro R. Artificial intelligence in detection of small bowel lesions and their bleeding risk: A new step forward. World J Gastroenterol 2024; 30(18): 2482-2484 [PMID: 38764765 DOI: 10.3748/wjg.v30.i18.2482] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v30/i18/2482.htm |
| Number | Citing Articles |
| 1 |
Himanshu Agrawal, Nikhil Gupta. Artificial intelligence in jejunal diverticulosis: emerging applications in imaging recognition, risk stratification and surgical decision support. International Surgery Journal 2026; 13(8) doi: 10.18203/2349-2902.isj20262497
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| 2 |
Michael F. Byrne, Jens Rittscher, James E. East. Synergies Among Clinicians, Academia, and Industry in the Age of Artificial Intelligence. Gastroenterology 2025; 169(3) doi: 10.1053/j.gastro.2025.05.007
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| 3 |
Zhong-Xing Ning, Jia-Jia Xiao, Zi-Xiong Zhou. Artificial intelligence-assisted endoscopy in the detection of early gastrointestinal cancer: Progress, challenges, and future directions. World Journal of Gastroenterology 2026; 32(12): 115990 doi: 10.3748/wjg.v32.i12.115990
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| 4 |
Faure Rodriguez Velasquez, Andres Montoya, Daniela Riaño-Pineda, Gabriela Urdinola, Alejandra Sogamoso-Bohórquez, Juan Galves-Cetina, Eduardo Tuta-Quintero. Artificial Intelligence for the Detection of Small Bowel Lesions and Neoplasia: A Scoping Review. Cureus 2026; doi: 10.7759/cureus.112283
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