| For: | Zhang Y. Enhancing rectal cancer liver metastasis prediction: Magnetic resonance imaging-based radiomics, bias mitigation, and regulatory considerations. World J Gastrointest Oncol 2025; 17(2): 102151 [PMID: 39958549 DOI: 10.4251/wjgo.v17.i2.102151] |
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| URL: | https://www.wjgnet.com/1948-5204/full/v17/i2/102151.htm |
| Number | Citing Articles |
| 1 |
Hui Nian, Yi-Bin Wu, Yu Bai, Zhi-Long Zhang, Xiao-Huang Tu, Qi-Zhi Liu, De-Hua Zhou, Qian-Cheng Du. Multimodal artificial intelligence integrates imaging, endoscopic, and omics data for intelligent decision-making in individualized gastrointestinal tumor treatment. Artificial Intelligence in Gastroenterology 2026; 7(1): 115498 doi: 10.35712/aig.v7.i1.115498
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| 2 |
Partha Pratim Ray. A review on explainable artificial intelligence in radiomics: State-of-the-art tools, prospective use cases, challenges and future directions. European Journal of Radiology Artificial Intelligence 2026; 5: 100069 doi: 10.1016/j.ejrai.2025.100069
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