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Cited by in F6Publishing
For: Liu W, Wu Y, Yuan X, Zhang J, Zhou Y, Zhang W, Zhu P, Tao Z, He L, Hu B, Yi Z. Artificial intelligence-based assessments of colonoscopic withdrawal technique: a new method for measuring and enhancing the quality of fold examination. Endoscopy 2022;54:972-9. [PMID: 35391493 DOI: 10.1055/a-1799-8297] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Dilmaghani S, Coelho-prabhu N. Role of Artificial Intelligence in Colonoscopy: A Literature Review of the Past, Present, and Future Directions. Techniques and Innovations in Gastrointestinal Endoscopy 2023. [DOI: 10.1016/j.tige.2023.03.002] [Reference Citation Analysis]
2 Desai M, Rex DK, Bohm ME, Davitkov P, DeWitt JM, Fischer M, Faulx G, Heath R, Imler TD, James-Stevenson TN, Kahi CJ, Kessler WR, Kohli DR, McHenry L, Rai T, Rogers NA, Sagi SV, Sathyamurthy A, Vennalaganti P, Sundaram S, Patel H, Higbee A, Kennedy K, Lahr R, Stojadinovikj G, Campbell C, Dasari C, Parasa S, Faulx A, Sharma P. Impact of withdrawal time on adenoma detection rate: results from a prospective multicenter trial. Gastrointest Endosc 2023;97:537-543.e2. [PMID: 36228700 DOI: 10.1016/j.gie.2022.09.031] [Reference Citation Analysis]
3 Rex DK. Key quality indicators in colonoscopy. Gastroenterol Rep (Oxf) 2023;11:goad009. [PMID: 36911141 DOI: 10.1093/gastro/goad009] [Reference Citation Analysis]
4 Antonelli G, Rizkala T, Iacopini F, Hassan C. Current and future implications of artificial intelligence in colonoscopy. Ann Gastroenterol 2023;36:114-22. [PMID: 36864946 DOI: 10.20524/aog.2023.0781] [Reference Citation Analysis]
5 Hassan C, Repici A. Targeting the low detector with artificial intelligence. Endoscopy 2022;54:1015-6. [PMID: 35595504 DOI: 10.1055/a-1819-6568] [Reference Citation Analysis]