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Cited by in CrossRef
For: Yang KF, Li SJ, Xu J, Zheng YB. Machine learning prediction model for gray-level co-occurrence matrix features of synchronous liver metastasis in colorectal cancer. World J Gastrointest Surg 2024; 16(6): 1571-1581 [PMID: 38983351 DOI: 10.4240/wjgs.v16.i6.1571]
URL: https://www.wjgnet.com/1007-9327/full/v16/i6/1571.htm
Number Citing Articles
1
Lu Yan, Bo Qu, Yanhong Liu, Liangying Wu. MRI radiomics evaluation of liver-kidney tonifying formula combined with hormone replacement therapy for perimenopausal osteoporosisJournal of Radiation Research and Applied Sciences 2025; 18(4): 101996 doi: 10.1016/j.jrras.2025.101996
2
Yassin Rahnama, Homayoun Pishraft-Sabet, Sara Eghbali, Faeze Salahshour, Sina Delazar, Mojtaba Sedaghat, Amir Keshvari, Alireza Kazemeini, Mohammad Reza Keramati, Mohammad Sadegh Fazeli, Behnam Behboudi, Seyed Mohsen Ahmadi-Tafti. Artificial intelligence for the prediction of synchronous and metachronous liver metastasis in colorectal cancer patients: a systematic review and meta-analysisAbdominal Radiology 2026;  doi: 10.1007/s00261-026-05433-0
3
Md Sadique Hussain, Mokhtar Rejili, Amna Khan, Saud O. Alshammari, Ching Siang Tan, Faouzi Haouala, Sumel Ashique, Qamar A. Alshammari. AI-powered liquid biopsy for early detection of gastrointestinal cancersClinica Chimica Acta 2025; 577: 120484 doi: 10.1016/j.cca.2025.120484
4
Jiaqi Wang, Hongbi Kang, Kexin Li. Research on health monitoring of concrete structure based on G-S-GScientific Reports 2025; 15(1) doi: 10.1038/s41598-024-84830-1