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- Artificial Intelligence in Gastrointestinal Endoscopy
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| For: | Parasher G, Wong M, Rawat M. Evolving role of artificial intelligence in gastrointestinal endoscopy. World J Gastroenterol 2020; 26(46): 7287-7298 [PMID: 33362384 DOI: 10.3748/wjg.v26.i46.7287] [Cited by in CrossRef: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis] |
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| Number | Citing Articles |
| 1 | Purnomo G, Yeo SJ, Liow MHL. Artificial intelligence in arthroplasty. Arthroplasty 2021;3:37. [PMID: 35236494 DOI: 10.1186/s42836-021-00095-3] [Reference Citation Analysis] |
| 2 | Con D, van Langenberg DR, Vasudevan A. Deep learning vs conventional learning algorithms for clinical prediction in Crohn's disease: A proof-of-concept study. World J Gastroenterol 2021; 27(38): 6476-6488 [PMID: 34720536 DOI: 10.3748/wjg.v27.i38.6476] [Reference Citation Analysis] |
| 3 | Maulahela H, Annisa NG. Current advancements in application of artificial intelligence in clinical decision-making by gastroenterologists in gastrointestinal bleeding. Artif Intell Gastroenterol 2022; 3(1): 13-20 [DOI: 10.35712/aig.v3.i1.13] [Reference Citation Analysis] |
| 4 | Wang L, Song H, Wang M, Wang H, Ge R, Shen Y, Yu Y. Utilization of Ultrasonic Image Characteristics Combined with Endoscopic Detection on the Basis of Artificial Intelligence Algorithm in Diagnosis of Early Upper Gastrointestinal Cancer. J Healthc Eng 2021;2021:2773022. [PMID: 34880973 DOI: 10.1155/2021/2773022] [Reference Citation Analysis] |
| 5 | Yan T, Wong PK, Qin YY. Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A review. World J Gastroenterol 2021; 27(20): 2531-2544 [PMID: 34092974 DOI: 10.3748/wjg.v27.i20.2531] [Reference Citation Analysis] |