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Cited by in CrossRef
For: Kucukakcali Z, Akbulut S. Role of immature granulocyte and blood biomarkers in predicting perforated acute appendicitis using machine learning model. World J Clin Cases 2025; 13(22): 104379 [PMID: 40771742 DOI: 10.12998/wjcc.v13.i22.104379]
URL: https://www.wjgnet.com/2307-8960/full/v13/i22/104379.htm
Number Citing Articles
1
Sami Akbulut, Zeynep Kucukakcali, Cemil Colak. Artificial intelligence in acute appendicitis: A comprehensive review of machine learning and deep learning applicationsWorld Journal of Gastroenterology 2025; 31(43): 112000 doi: 10.3748/wjg.v31.i43.112000
2
Alicja Czyszczon, Bartosz Maczkowski, Aneta Tkaczyk, Marek Drozdz, Wiktoria Boral, Szymon Mikler, Magdalena Mandyna, Aleksandra Przelaskowska, Jan Pulinski. Hyperbilirubinemia as a Marker for Complicated Acute Appendicitis: A Systematic ReviewCureus 2025;  doi: 10.7759/cureus.93197