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Item

Count

PDF

HTML

1263

Figures (1-5)

206

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194

Sum=1706

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134

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246

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Mar 21, 2025 (publication date) through Jun 13, 2025

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Times Cited (3)

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Publication Name

World Journal of Gastroenterology

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1007-9327

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Cited by in CrossRef

For:	Shi YH, Liu JL, Cheng CC, Li WL, Sun H, Zhou XL, Wei H, Fei SJ. Construction and validation of machine learning-based predictive model for colorectal polyp recurrence one year after endoscopic mucosal resection. World J Gastroenterol 2025; 31(11): 102387 [PMID: 40124266 DOI: 10.3748/wjg.v31.i11.102387]
URL:	https://www.wjgnet.com/1948-5182/full/v31/i11/102387.htm

Number	Citing Articles
1	Vladislav V Tsukanov, Alexander V Vasyutin, Edward V Kasparov, Julia L Tonkikh. Is the use of artificial intelligence the main stage for detecting polyps during colonoscopy?. World Journal of Gastroenterology 2025; 31(22): 106500 doi: 10.3748/wjg.v31.i22.106500 Abstract(52) \| Core Tip(51) \| Full Article(HTML)(120) \| Full Article with Cover (PDF)-622K(19) \| Audio-2032K(2) \| Peer-Review Report-251K(5) \| Answering Reviewers-32K(6) \| Full Article (PDF)-375K(21) \| Full Article (XML)-62K(9) \| Times Cited (0) \| Total Visits (348) \| Open
2	Yoshinori Kagawa. Clinical implications of a machine learning model predicting colorectal polyp recurrence after endoscopic mucosal resection. World Journal of Gastroenterology 2025; 31(22): 107197 doi: 10.3748/wjg.v31.i22.107197 Abstract(52) \| Core Tip(53) \| Full Article(HTML)(128) \| Full Article with Cover (PDF)-576K(7) \| Audio-341K(2) \| Peer-Review Report-224K(6) \| Answering Reviewers-43K(7) \| Full Article (PDF)-326K(13) \| Full Article (XML)-18K(7) \| Times Cited (0) \| Total Visits (390) \| Open
3	Vasily Isakov. Machine learning in colorectal polyp surveillance: A paradigm shift in post-endoscopic mucosal resection follow-up. World Journal of Gastroenterology 2025; 31(19): 106628 doi: 10.3748/wjg.v31.i19.106628 Abstract(131) \| Core Tip(128) \| Full Article(HTML)(364) \| Full Article with Cover (PDF)-1007K(26) \| Audio-1534K(2) \| Peer-Review Report-257K(19) \| Answering Reviewers-258K(14) \| Full Article (PDF)-688K(32) \| Full Article (XML)-149K(20) \| Times Cited (0) \| Total Visits (984) \| Open

Number	Citing Articles
1	Vladislav V Tsukanov, Alexander V Vasyutin, Edward V Kasparov, Julia L Tonkikh. Is the use of artificial intelligence the main stage for detecting polyps during colonoscopy?. World Journal of Gastroenterology 2025; 31(22): 106500 doi: 10.3748/wjg.v31.i22.106500 Abstract(52) \| Core Tip(51) \| Full Article(HTML)(120) \| Full Article with Cover (PDF)-622K(19) \| Audio-2032K(2) \| Peer-Review Report-251K(5) \| Answering Reviewers-32K(6) \| Full Article (PDF)-375K(21) \| Full Article (XML)-62K(9) \| Times Cited (0) \| Total Visits (348) \| Open
2	Yoshinori Kagawa. Clinical implications of a machine learning model predicting colorectal polyp recurrence after endoscopic mucosal resection. World Journal of Gastroenterology 2025; 31(22): 107197 doi: 10.3748/wjg.v31.i22.107197 Abstract(52) \| Core Tip(53) \| Full Article(HTML)(128) \| Full Article with Cover (PDF)-576K(7) \| Audio-341K(2) \| Peer-Review Report-224K(6) \| Answering Reviewers-43K(7) \| Full Article (PDF)-326K(13) \| Full Article (XML)-18K(7) \| Times Cited (0) \| Total Visits (390) \| Open
3	Vasily Isakov. Machine learning in colorectal polyp surveillance: A paradigm shift in post-endoscopic mucosal resection follow-up. World Journal of Gastroenterology 2025; 31(19): 106628 doi: 10.3748/wjg.v31.i19.106628 Abstract(131) \| Core Tip(128) \| Full Article(HTML)(364) \| Full Article with Cover (PDF)-1007K(26) \| Audio-1534K(2) \| Peer-Review Report-257K(19) \| Answering Reviewers-258K(14) \| Full Article (PDF)-688K(32) \| Full Article (XML)-149K(20) \| Times Cited (0) \| Total Visits (984) \| Open