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Cited by in CrossRef
For: Joseph J, LePage EM, Cheney CP, Pawa R. Artificial intelligence in colonoscopy. World J Gastroenterol 2021; 27(29): 4802-4817 [PMID: 34447227 DOI: 10.3748/wjg.v27.i29.4802]
URL: https://www.wjgnet.com/1007-9327/full/v27/i29/4802.htm
Number Citing Articles
1
Osamu Toyoshima, Toshihiro Nishizawa, Keisuke Hata. Topic highlight on texture and color enhancement imaging in gastrointestinal diseasesWorld Journal of Gastroenterology 2024; 30(14): 1934-1940 doi: 10.3748/wjg.v30.i14.1934
2
Peng-yue Zhao, Ke Han, Ren-qi Yao, Chao Ren, Xiao-hui Du. Application Status and Prospects of Artificial Intelligence in Peptic UlcersFrontiers in Surgery 2022; 9 doi: 10.3389/fsurg.2022.894775
3
Sanjay R.V. Gadi, Sriya S. Muralidharan, Jeremy R. Glissen Brown. Colonoscopy Quality, Innovation, and the Assessment of New TechnologyTechniques and Innovations in Gastrointestinal Endoscopy 2024; 26(2): 177 doi: 10.1016/j.tige.2024.03.001
4
Nikhil G. Thaker, Adam P. Dicker, Arturo Loaiza-Bonilla, Africa Wallace, Diana Kolman, Ashlee Godshalk Ruggles, Sudhir Manda, Steven J. Frank, Peter Orio, Cataldo Doria. The Role of Artificial Intelligence in Early Cancer Detection: Exploring Early Clinical ApplicationsAI in Precision Oncology 2024; 1(2): 91 doi: 10.1089/aipo.2023.0011
5
Ling Du, Fanling Hong, Yan Zhu, Weifeng Chen, Zhen Zhang, Peiyao Fu, Quanlin Li, Pinghong Zhou. Integration of endoscopic professional database development and image annotation platform: Radiation control plan for gastric examinationJournal of Radiation Research and Applied Sciences 2024; 17(4): 101085 doi: 10.1016/j.jrras.2024.101085
6
Carsten Engelke, Mattis Graf, Carlos Maass, Hauke C. Tews, Martin Kraus, Thomas Ewers, Friedhelm Sayk, Philipp Solbach, Carolin Zimpel, Lars Tharun, Jens U. Marquardt, Martha M. Kirstein. Prospective study of computer-aided detection of colorectal adenomas in hospitalized patientsScandinavian Journal of Gastroenterology 2023; 58(10): 1194 doi: 10.1080/00365521.2023.2212309
7
Adam Zaczek, Robert Pudlo. Colonoscopy: body and psyche. Can psychiatry contribute to the quality of the examination?Current Problems of Psychiatry 2023; 24: 253 doi: 10.12923/2353-8627/2023-0024
8
Anson Mwango, Tayyab Saeed Akhtar, Sameen Abbas, Dua Sadaf Abbasi, Amjad Khan. Effect of artificial intelligence-aided colonoscopy on the adenoma detection rate: A systematic reviewInternational Journal of Gastrointestinal Intervention 2024; 13(3): 65 doi: 10.18528/ijgii240013
9
Eyad Gadour, Zeinab Hassan, Ahmed Hashim, Bogdan Miutescu, Hussein Okasha. Effectiveness of artificial intelligence in improving colonoscopy qualityThe Egyptian Journal of Internal Medicine 2024; 36(1) doi: 10.1186/s43162-024-00371-z
10
Marco Spadaccini, Joel Troya, Kareem Khalaf, Antonio Facciorusso, Roberta Maselli, Alexander Hann, Alessandro Repici. Artificial Intelligence-assisted colonoscopy and colorectal cancer screening: Where are we going?Digestive and Liver Disease 2024; 56(7): 1148 doi: 10.1016/j.dld.2024.01.203
11
Aashna Mehta, Wireko Andrew Awuah, Sucharu Asri, Muhammad Jawad Zahid, Jyi Cheng Ng, Heli Patel, Helen Huang, Katherine Candelario, Ayush Anand, Toufik-Abdul Rahman, Vladyslav Sikora, Arda Isik. Exploration of Artificial Intelligence and Blockchain Technology in Smart and Secure HealthcareAdvances in Computing Communications and Informatics 2024; 7: 111 doi: 10.2174/9789815165432124070008
12
Shingo Sakashita, Naoya Sakamoto, Motohiro Kojima, Tetsuro Taki, Saori Miyazaki, Nobuhisa Minakata, Maasa Sasabe, Takahiro Kinoshita, Genichiro Ishii, Atsushi Ochiai. Requirement of image standardization for AI-based macroscopic diagnosis for surgical specimens of gastric cancerJournal of Cancer Research and Clinical Oncology 2023; 149(9): 6467 doi: 10.1007/s00432-022-04570-5
13
Antonio Z. Gimeno-García, Anjara Hernández-Pérez, David Nicolás-Pérez, Manuel Hernández-Guerra. Artificial Intelligence Applied to Colonoscopy: Is It Time to Take a Step Forward?Cancers 2023; 15(8): 2193 doi: 10.3390/cancers15082193
14
Yumi Kusano, Kei Funada, Mayumi Yamaguchi, Miwa Sugawara, Masaya Tamano. Dietary counseling based on artificial intelligence for patients with nonalcoholic fatty liver diseaseArtificial Intelligence in Gastroenterology 2022; 3(4): 105-116 doi: 10.35712/aig.v3.i4.105