World Journal of Gastrointestinal Surgery - Baishideng Publishing Group

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 16, Issue 4

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 (3195)

All Articles published online

The chart showing PDF series, HTML series, Figures (1-2) series, Tables (1-2) series.

Item

Count

PDF

109

HTML

1933

Figures (1-2)

300

Tables (1-2)

299

Sum=2641

Publishing Process of This Article

The chart showing Browse series, Download series.

Item

Count

Browse

Download

363

Sum=445

Apr 27, 2024 (publication date) through Apr 27, 2025

Times Cited of This Article

Times Cited (2)

Journal Information of This Article

Publication Name

World Journal of Gastrointestinal Surgery

ISSN

1948-9366

Publisher of This Article

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

Cited by in CrossRef

For:	Ali H, Inayat F, Moond V, Chaudhry A, Afzal A, Anjum Z, Tahir H, Anwar MS, Dahiya DS, Afzal MS, Nawaz G, Sohail AH, Aziz M. Predicting short-term thromboembolic risk following Roux-en-Y gastric bypass using supervised machine learning. World J Gastrointest Surg 2024; 16(4): 1097-1108 [PMID: 38690043 DOI: 10.4240/wjgs.v16.i4.1097]
URL:	https://www.wjgnet.com/1948-9366/full/v16/i4/1097.htm

Number	Citing Articles
1	Raheleh Moradi, Maryam Kashanian, Fahime Yarigholi, Abdolreza Pazouki, Abbas Sheikhtaheri. Predicting pregnancy at the first year following metabolic-bariatric surgery: development and validation of machine learning models. Surgical Endoscopy 2025; 39(4): 2656 doi: 10.1007/s00464-025-11640-5
2	Mohammad Kermansaravi, Sonja Chiappetta, Shahab Shahabi Shahmiri, Julian Varas, Chetan Parmar, Yung Lee, Jerry T. Dang, Asim Shabbir, Daniel Hashimoto, Amir Hossein Davarpanah Jazi, Ozanan R. Meireles, Edo Aarts, Hazem Almomani, Aayad Alqahtani, Ali Aminian, Estuardo Behrens, Dieter Birk, Felipe J. Cantu, Ricardo V. Cohen, Maurizio De Luca, Nicola Di Lorenzo, Bruno Dillemans, Mohamad Hayssam ElFawal, Daniel Moritz Felsenreich, Michel Gagner, Hector Gabriel Galvan, Carlos Galvani, Khaled Gawdat, Omar M. Ghanem, Ashraf Haddad, Jaques Himpens, Kazunori Kasama, Radwan Kassir, Mousa Khoursheed, Haris Khwaja, Lilian Kow, Panagiotis Lainas, Muffazal Lakdawala, Rafael Luengas Tello, Kamal Mahawar, Caetano Marchesini, Mario A. Masrur, Claudia Meza, Mario Musella, Abdelrahman Nimeri, Patrick Noel, Mariano Palermo, Abdolreza Pazouki, Jaime Ponce, Gerhard Prager, César David Quiróz-Guadarrama, Karl P. Rheinwalt, Jose G. Rodriguez, Alan A. Saber, Paulina Salminen, Scott A. Shikora, Erik Stenberg, Christine K. Stier, Michel Suter, Samuel Szomstein, Halit Eren Taskin, Ramon Vilallonga, Ala Wafa, Wah Yang, Ricardo Zorron, Antonio Torres, Matthew Kroh, Natan Zundel. International expert consensus on the current status and future prospects of artificial intelligence in metabolic and bariatric surgery. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-025-94335-0