For: | Zhang J, Wang Q, Guo TH, Gao W, Yu YM, Wang RF, Yu HL, Chen JJ, Sun LL, Zhang BY, Wang HJ. Computed tomography-based radiomic model for the prediction of neoadjuvant immunochemotherapy response in patients with advanced gastric cancer. World J Gastrointest Oncol 2024; 16(10): 4115-4128 [PMID: 39473942 DOI: 10.4251/wjgo.v16.i10.4115] |
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URL: | https://www.wjgnet.com/1949-8470/full/v16/i10/4115.htm |
Number | Citing Articles |
1 |
Yuze Wei, Yanmei Zhu, Qian Dong, Wentao Wang, Tao Yu, Jianjun Zhang, Yue Dong. Interpretable combined models for predicting treatment response and hematologic toxicity in locally advanced gastric cancer treated with PD-1 blockade and neoadjuvant chemotherapy. European Journal of Radiology 2025; 190: 112256 doi: 10.1016/j.ejrad.2025.112256
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2 |
Carlos M Ardila, Daniel González-Arroyave, Jaime Ramírez-Arbeláez. Artificial intelligence as a predictive tool for gastric cancer: Bridging innovation, clinical translation, and ethical considerations. World Journal of Gastrointestinal Oncology 2025; 17(5): 103275 doi: 10.4251/wjgo.v17.i5.103275
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