World Journal of Hepatology - Baishideng Publishing Group

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 31, Issue 11

This Article

Academic Content and Language Evaluation of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Supplementary Materials of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Number of Hits and Downloads for This Article

Total Article Views (6010)

All Articles published online

The chart showing PDF series, HTML series, Figures (1-5) series, Tables (1-3) series.

Item

Count

PDF

1767

HTML

2371

Figures (1-5)

318

Tables (1-3)

295

Sum=4751

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

183

Download

499

Sum=682

Publishing Process of This Article

Item

Count

Browse

Download

347

Sum=420

Mar 21, 2025 (publication date) through Nov 3, 2025

Times Cited of This Article

Times Cited (6)

Journal Information of This Article

Publication Name

World Journal of Gastroenterology

ISSN

1007-9327

Publisher of This Article

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(232) \| Core Tip(267) \| Full Article(HTML)(1058) \| Full Article with Cover (PDF)-622K(84) \| Audio-2032K(4) \| Peer-Review Report-251K(40) \| Answering Reviewers-32K(38) \| Full Article (PDF)-375K(94) \| Full Article (XML)-62K(33) \| Times Cited (0) \| Total Visits (2356) \| 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(251) \| Core Tip(252) \| Full Article(HTML)(757) \| Full Article with Cover (PDF)-576K(58) \| Audio-341K(3) \| Peer-Review Report-224K(46) \| Answering Reviewers-43K(44) \| Full Article (PDF)-326K(87) \| Full Article (XML)-18K(44) \| Times Cited (1) \| Total Visits (2003) \| Open
3	Yao Liu, Congcong Cheng, Wenling Li, Jisheng Gu, Yiheng Shi, Sujuan Fei. Machine learning-based prediction of short-term recurrence of colorectal adenomatous polyps following EMR: model development and validation study. International Journal of Medical Informatics 2026; 206: 106165 doi: 10.1016/j.ijmedinf.2025.106165
4	Samantha Pang, Pedram Tavakoli, Neal Shahidi. Prevention and treatment of recurrence after endoscopic resection of large non-pedunculated colorectal polyps. World Journal of Gastrointestinal Endoscopy 2025; 17(7): 107746 doi: 10.4253/wjge.v17.i7.107746 Abstract(186) \| Core Tip(178) \| Full Article(HTML)(1171) \| Full Article with Cover (PDF)-23573K(87) \| Audio-367K(7) \| Peer-Review Report-224K(39) \| Answering Reviewers-65K(41) \| Full Article (PDF)-23236K(76) \| Full Article (XML)-223K(46) \| Times Cited (0) \| Total Visits (2371) \| Open
5	Guang-Yao Li, Lu-Lu Zhai. Insights into a machine learning-based prediction model for colorectal polyp recurrence after endoscopic mucosal resection. World Journal of Gastroenterology 2025; 31(31): 109389 doi: 10.3748/wjg.v31.i31.109389 Abstract(565) \| Core Tip(552) \| Full Article(HTML)(2936) \| Full Article with Cover (PDF)-582K(49) \| Audio-512K(5) \| Peer-Review Report-300K(26) \| Answering Reviewers-215K(30) \| Full Article (PDF)-336K(62) \| Full Article (XML)-31K(22) \| Times Cited (0) \| Total Visits (4569) \| Open
6	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(268) \| Core Tip(280) \| Full Article(HTML)(1073) \| Full Article with Cover (PDF)-1007K(128) \| Audio-1534K(8) \| Peer-Review Report-257K(62) \| Answering Reviewers-258K(83) \| Full Article (PDF)-688K(98) \| Full Article (XML)-149K(66) \| Times Cited (0) \| Total Visits (2924) \| 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(232) \| Core Tip(267) \| Full Article(HTML)(1058) \| Full Article with Cover (PDF)-622K(84) \| Audio-2032K(4) \| Peer-Review Report-251K(40) \| Answering Reviewers-32K(38) \| Full Article (PDF)-375K(94) \| Full Article (XML)-62K(33) \| Times Cited (0) \| Total Visits (2356) \| 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(251) \| Core Tip(252) \| Full Article(HTML)(757) \| Full Article with Cover (PDF)-576K(58) \| Audio-341K(3) \| Peer-Review Report-224K(46) \| Answering Reviewers-43K(44) \| Full Article (PDF)-326K(87) \| Full Article (XML)-18K(44) \| Times Cited (1) \| Total Visits (2003) \| Open
3	Yao Liu, Congcong Cheng, Wenling Li, Jisheng Gu, Yiheng Shi, Sujuan Fei. Machine learning-based prediction of short-term recurrence of colorectal adenomatous polyps following EMR: model development and validation study. International Journal of Medical Informatics 2026; 206: 106165 doi: 10.1016/j.ijmedinf.2025.106165
4	Samantha Pang, Pedram Tavakoli, Neal Shahidi. Prevention and treatment of recurrence after endoscopic resection of large non-pedunculated colorectal polyps. World Journal of Gastrointestinal Endoscopy 2025; 17(7): 107746 doi: 10.4253/wjge.v17.i7.107746 Abstract(186) \| Core Tip(178) \| Full Article(HTML)(1171) \| Full Article with Cover (PDF)-23573K(87) \| Audio-367K(7) \| Peer-Review Report-224K(39) \| Answering Reviewers-65K(41) \| Full Article (PDF)-23236K(76) \| Full Article (XML)-223K(46) \| Times Cited (0) \| Total Visits (2371) \| Open
5	Guang-Yao Li, Lu-Lu Zhai. Insights into a machine learning-based prediction model for colorectal polyp recurrence after endoscopic mucosal resection. World Journal of Gastroenterology 2025; 31(31): 109389 doi: 10.3748/wjg.v31.i31.109389 Abstract(565) \| Core Tip(552) \| Full Article(HTML)(2936) \| Full Article with Cover (PDF)-582K(49) \| Audio-512K(5) \| Peer-Review Report-300K(26) \| Answering Reviewers-215K(30) \| Full Article (PDF)-336K(62) \| Full Article (XML)-31K(22) \| Times Cited (0) \| Total Visits (4569) \| Open
6	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(268) \| Core Tip(280) \| Full Article(HTML)(1073) \| Full Article with Cover (PDF)-1007K(128) \| Audio-1534K(8) \| Peer-Review Report-257K(62) \| Answering Reviewers-258K(83) \| Full Article (PDF)-688K(98) \| Full Article (XML)-149K(66) \| Times Cited (0) \| Total Visits (2924) \| Open