| For: | Kwon YS, Park TY, Kim SE, Park Y, Lee JG, Lee SP, Kim KO, Jang HJ, Yang YJ, Cho BJ. Deep learning-based localization and lesion detection in capsule endoscopy for patients with suspected small-bowel bleeding. World J Gastroenterol 2025; 31(27): 106819 [PMID: 40741104 DOI: 10.3748/wjg.v31.i27.106819] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v31/i27/106819.htm |
| Number | Citing Articles |
| 1 |
Raphaëlle Rouveyre, Tristan Gomez, Harold Mouchère, Arnaud Bourreille, Catherine Le Berre. Artificial Intelligence-Based Localization of Small Bowel Anatomic Transition Zones in Crohn’s Disease Using Capsule Endoscopy. Endoscopy International Open 2026; 14(CP) doi: 10.1055/a-2884-1351
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| 2 |
Heng-Rui Liu. Deep learning meets small-bowel capsule endoscopy: A step toward faster and more consistent diagnosis of obscure gastrointestinal bleeding. World Journal of Gastrointestinal Endoscopy 2025; 17(10): 113184 doi: 10.4253/wjge.v17.i10.113184
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| 3 |
R. Kishore Kanna, Anjaney Nigam, Vinay Kumar Sharma, Jishu Varshney, Rama Kant, Alok Singh Chauhan. Innovative Electromyography System for Continuous Stress Detection Using Advanced Signal Processing and Classification Algorithms. 2025 5th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU) 2025; doi: 10.1109/IOT-SIU65919.2025.11402781
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| 4 |
Daniele Salvi, Chiara Zani, Cristiano Spada, Stefania Piccirelli, Lorenzo Zileri Dal Verme, Giulia Tripodi, Loredana Gualtieri, Paola Cesaro, Clarissa Ferrari. Neural Network Architectures in Video Capsule Endoscopy: A Systematic Review and Meta-Analysis on Accuracy and Reading Time Performances. Applied Sciences 2026; 16(2) doi: 10.3390/app16021134
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| 5 |
Felix Lopez Dominici, Michael B. Wallace. Advances in Artificial Intelligence for Gastrointestinal Endoscopy: 2026 Update. Diagnostics 2026; 16(14) doi: 10.3390/diagnostics16142248
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| 6 |
Xian-Xian Liu, Weiling He, Amir H. Gandomi, Wei Luo, Juntao Gao, Mingkun Xu, Simon Fong, Jiang Cai. Knowledge Science, Engineering and Management. Lecture Notes in Computer Science 2027; 16633 doi: 10.1007/978-981-92-2856-0_36
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| 7 |
Sarah Bencardino, Ilaria Lodola, Lucia Centanni, Francesco Vito Mandarino, Jacopo Fanizza, Federica Furfaro, Ferdinando D’Amico, Lorenzo Fuccio, Angelo Bruni, Antonio Facciorusso, Sara Massironi, Vito Annese, Silvio Danese, Andrew A. Gumbs, Gianfranco Donatelli, Giuseppe Dell’Anna. Artificial intelligence in advanced endoscopic imaging: transforming optical diagnosis in gastroenterology. Frontiers in Medicine 2026; 12 doi: 10.3389/fmed.2025.1719145
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| 8 |
Shiren Ye, Liangjing Li, Zetong Zhang, Haipeng Ma. YOLOv12-WCIRS: An Improved YOLOv12-Based Framework for Small Intestinal Lesion Detection in WCE. Computers 2026; 15(5) doi: 10.3390/computers15050283
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| 9 |
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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| 10 |
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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| 11 |
Ali Sahafi, Anastasios Koulaouzidis, Amin Naemi. Artificial Intelligence in Gastrointestinal Wireless Capsule Endoscopy: A Systematic Literature Review and Meta-Analysis. Diagnostics 2026; 16(9) doi: 10.3390/diagnostics16091269
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| 12 |
Fahad Mushabbab G. Alotaibi, Abduljabbar S. Ba Mahel, Kaixuan Zhang, Zenebe Markos Lonseko, Nini Rao. Deep Residual Learning for Multi-Class Diagnostics in Capsule Endoscopy. 2025 19th International Conference on Complex Medical Engineering (CME) 2025; doi: 10.1109/CME67420.2025.11239055
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| 13 |
Rishi Chowdhary, Param Darpan Sheth, Insiya Mohammed Rampurawala, Chitresh Kapadia, Chirag Vohra, Rahul Chowdhary, Kirti Arora, Varna Taranikanti, Ashita Rukmini Vuthaluru, Omesh Goyal, Manjeet Kumar Goyal. Multimodal artificial intelligence in capsule endoscopy: Integrating video and sensor data for advanced gastrointestinal diagnostics. Artificial Intelligence in Gastrointestinal Endoscopy 2026; 7(1): 117988 doi: 10.37126/aige.v7.i1.117988
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