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For: Antonelli G, Gkolfakis P, Tziatzios G, Papanikolaou IS, Triantafyllou K, Hassan C. Artificial intelligence-aided colonoscopy: Recent developments and future perspectives. World J Gastroenterol 2020; 26(47): 7436-7443 [PMID: 33384546 DOI: 10.3748/wjg.v26.i47.7436]
URL: https://www.wjgnet.com/1007-9327/full/v26/i47/7436.htm
Number Citing Articles
1
Xin Wang, Gongyuan Zhang, Xiaoli Zhu. Design and Development of Multifunctional Management Platform for Substation Considering Application of Intelligent Technologies2021 IEEE 11th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER) 2021; : 277 doi: 10.1109/CYBER53097.2021.9588323
2
E. Soons, T. Rath, Y. Hazewinkel, W. A. van Dop, D. Esposito, P. A. Testoni, P. D. Siersema. Real-time colorectal polyp detection using a novel computer-aided detection system (CADe): a feasibility studyInternational Journal of Colorectal Disease 2022; 37(10): 2219 doi: 10.1007/s00384-022-04258-9
3
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
4
Frederick H. Koh, Jasmine Ladlad, Fung-Joon Foo, Winson J. Tan, Sharmini S. Sivarajah, Leonard M. L. Ho, Jia-Lin Ng, Frederick H. Koh, Cheryl Chong, Darius Aw, Juinn-Haur Kam, Alvin Y. H. Tan, Choon-Chieh Tan, Baldwin P. M. Yeung, Wai-Keong Wong, Bin-Chet Toh, Jasmine Ladlad, Jason Barco, Koy-Min Chue, Faith Leong, Christopher Kong, Cui-Li Lin, Eng-Kiong Teo, Yi-Kang Ng, Tze-Tong Tey, Marianne A. De-Roza, Jonathan Lum, Xiaoke Li, Jinliang Li, Nazeemah B. Mohd-Nor, Siok-Peng Ng, Eng-Kiong Teo, Cui-Li Lin, Fung-Joon Foo. Real-time artificial intelligence (AI)-aided endoscopy improves adenoma detection rates even in experienced endoscopists: a cohort study in SingaporeSurgical Endoscopy 2023; 37(1): 165 doi: 10.1007/s00464-022-09470-w
5
Marco Spadaccini, Cesare Hassan, Ludovico Alfarone, Leonardo Da Rio, Roberta Maselli, Silvia Carrara, Piera Alessia Galtieri, Gaia Pellegatta, Alessandro Fugazza, Glenn Koleth, James Emmanuel, Andrea Anderloni, Yuichi Mori, Michael B. Wallace, Prateek Sharma, Alessandro Repici. Comparing the number and relevance of false activations between 2 artificial intelligence computer-aided detection systems: the NOISE studyGastrointestinal Endoscopy 2022; 95(5): 975 doi: 10.1016/j.gie.2021.12.031
6
Christopher Prien, Eddy P. Lincango, Stefan D. Holubar. Big Data in SurgerySurgical Clinics of North America 2023; 103(2): 219 doi: 10.1016/j.suc.2022.12.002
7
S. Nazarian, H.F Koo, E. Carrington, A. Darzi, N. Patel. The future of endoscopy – what are the thoughts on artificial intelligence?Journal of Experimental & Theoretical Artificial Intelligence 2023; : 1 doi: 10.1080/0952813X.2023.2178516
8
Christoph Schrader, Ingo Wallstabe, Ingolf Schiefke. Künstliche Intelligenz in der Vorsorgekoloskopiecoloproctology 2022; 44(2): 110 doi: 10.1007/s00053-022-00593-1
9
Studien-Referat: AI-gestützte Systeme können Adenomerkennung in der Koloskopie verbessernEndo-Praxis 2021; 37(02): 56 doi: 10.1055/a-1382-6822
10
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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11
Marco Spadaccini, Davide Massimi, Yuichi Mori, Ludovico Alfarone, Alessandro Fugazza, Roberta Maselli, Prateek Sharma, Antonio Facciorusso, Cesare Hassan, Alessandro Repici. Artificial Intelligence-Aided Endoscopy and Colorectal Cancer ScreeningDiagnostics 2023; 13(6): 1102 doi: 10.3390/diagnostics13061102
12
Ka Luen Thomas Lui, Sze Hang Kevin Liu, Kathy Leung, Joseph T Wu, Ann G Zauber, Wai Keung Leung. The Impacts of Computer-Aided Detection of Colorectal Polyps on Subsequent Colonoscopy Surveillance Intervals: Simulation StudyJournal of Medical Internet Research 2023; 25: e42665 doi: 10.2196/42665
13
Hang Zhang. A Review of Convolutional Neural Network Development in Computer VisionEAI Endorsed Transactions on Internet of Things 2022; 7(28): 1 doi: 10.4108/eetiot.v7i28.445