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Item

Count

PDF

152

HTML

1475

Figures (1-6)

209

Tables (1-3)

221

Sum=2057

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Item

Count

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168

Sum=212

Mar 21, 2025 (publication date) through Jun 29, 2025

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Times Cited (4)

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Publication Name

World Journal of Gastroenterology

ISSN

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:	Huang TF, Luo C, Guo LB, Liu HZ, Li JT, Lin QZ, Fan RL, Zhou WP, Li JD, Lin KC, Tang SC, Zeng YY. Preoperative prediction of textbook outcome in intrahepatic cholangiocarcinoma by interpretable machine learning: A multicenter cohort study. World J Gastroenterol 2025; 31(11): 100911 [PMID: 40124276 DOI: 10.3748/wjg.v31.i11.100911]
URL:	https://www.wjgnet.com/1007-9327/full/v31/i11/100911.htm

Number	Citing Articles
1	Arnulfo E Morales-Galicia, Mariana N Rincón-Sánchez, Mariana M Ramírez-Mejía, Nahum Méndez-Sánchez. Outcome prediction for cholangiocarcinoma prognosis: Embracing the machine learning era. World Journal of Gastroenterology 2025; 31(21): 106808 doi: 10.3748/wjg.v31.i21.106808 Abstract(136) \| Core Tip(149) \| Full Article(HTML)(438) \| Full Article with Cover (PDF)-3261K(37) \| Audio-355K(8) \| Peer-Review Report-461K(17) \| Answering Reviewers-379K(16) \| Full Article (PDF)-1743K(28) \| Full Article (XML)-81K(20) \| Times Cited (0) \| Total Visits (1236) \| Open
2	Shu-Yen Chan, Patrick Twohig. Artificial intelligence in liver cancer surgery: Predicting success before the first incision. World Journal of Gastroenterology 2025; 31(16): 107221 doi: 10.3748/wjg.v31.i16.107221 Abstract(200) \| Core Tip(177) \| Full Article(HTML)(1063) \| Full Article with Cover (PDF)-630K(27) \| Audio-463K(3) \| Peer-Review Report-183K(24) \| Answering Reviewers-216K(31) \| Full Article (PDF)-351K(42) \| Full Article (XML)-42K(28) \| Times Cited (0) \| Total Visits (2041) \| Open
3	Eyad Gadour, Mohammed S AlQahtani. Illuminating the black box: Machine learning enhances preoperative prediction in intrahepatic cholangiocarcinoma. World Journal of Gastroenterology 2025; 31(17): 106592 doi: 10.3748/wjg.v31.i17.106592 Abstract(196) \| Core Tip(178) \| Full Article(HTML)(735) \| Full Article with Cover (PDF)-1834K(46) \| Audio-1935K(9) \| Peer-Review Report-179K(27) \| Answering Reviewers-61K(38) \| Full Article (PDF)-369K(49) \| Full Article (XML)-50K(33) \| Times Cited (0) \| Total Visits (1567) \| Open
4	Himanshu Agrawal, Nikhil Gupta, Himanshu Tanwar, Natasha Panesar. Artificial intelligence in gastrointestinal surgery: A minireview of predictive models and clinical applications. Artificial Intelligence in Gastroenterology 2025; 6(1): 108198 doi: 10.35712/aig.v6.i1.108198 Abstract(133) \| Core Tip(132) \| Full Article(HTML)(246) \| Full Article with Cover (PDF)-923K(38) \| Audio-2093K(7) \| Peer-Review Report-201K(15) \| Answering Reviewers-248K(16) \| Full Article (PDF)-713K(31) \| Full Article (XML)-390K(17) \| Times Cited (0) \| Total Visits (1234) \| Open

Number	Citing Articles
1	Arnulfo E Morales-Galicia, Mariana N Rincón-Sánchez, Mariana M Ramírez-Mejía, Nahum Méndez-Sánchez. Outcome prediction for cholangiocarcinoma prognosis: Embracing the machine learning era. World Journal of Gastroenterology 2025; 31(21): 106808 doi: 10.3748/wjg.v31.i21.106808 Abstract(136) \| Core Tip(149) \| Full Article(HTML)(438) \| Full Article with Cover (PDF)-3261K(37) \| Audio-355K(8) \| Peer-Review Report-461K(17) \| Answering Reviewers-379K(16) \| Full Article (PDF)-1743K(28) \| Full Article (XML)-81K(20) \| Times Cited (0) \| Total Visits (1236) \| Open
2	Shu-Yen Chan, Patrick Twohig. Artificial intelligence in liver cancer surgery: Predicting success before the first incision. World Journal of Gastroenterology 2025; 31(16): 107221 doi: 10.3748/wjg.v31.i16.107221 Abstract(200) \| Core Tip(177) \| Full Article(HTML)(1063) \| Full Article with Cover (PDF)-630K(27) \| Audio-463K(3) \| Peer-Review Report-183K(24) \| Answering Reviewers-216K(31) \| Full Article (PDF)-351K(42) \| Full Article (XML)-42K(28) \| Times Cited (0) \| Total Visits (2041) \| Open
3	Eyad Gadour, Mohammed S AlQahtani. Illuminating the black box: Machine learning enhances preoperative prediction in intrahepatic cholangiocarcinoma. World Journal of Gastroenterology 2025; 31(17): 106592 doi: 10.3748/wjg.v31.i17.106592 Abstract(196) \| Core Tip(178) \| Full Article(HTML)(735) \| Full Article with Cover (PDF)-1834K(46) \| Audio-1935K(9) \| Peer-Review Report-179K(27) \| Answering Reviewers-61K(38) \| Full Article (PDF)-369K(49) \| Full Article (XML)-50K(33) \| Times Cited (0) \| Total Visits (1567) \| Open
4	Himanshu Agrawal, Nikhil Gupta, Himanshu Tanwar, Natasha Panesar. Artificial intelligence in gastrointestinal surgery: A minireview of predictive models and clinical applications. Artificial Intelligence in Gastroenterology 2025; 6(1): 108198 doi: 10.35712/aig.v6.i1.108198 Abstract(133) \| Core Tip(132) \| Full Article(HTML)(246) \| Full Article with Cover (PDF)-923K(38) \| Audio-2093K(7) \| Peer-Review Report-201K(15) \| Answering Reviewers-248K(16) \| Full Article (PDF)-713K(31) \| Full Article (XML)-390K(17) \| Times Cited (0) \| Total Visits (1234) \| Open