| For: | Wang Z, Zhang RY, Ji C, Zhang JY, Yue BT, Wang F. Revolutionizing gastrointestinal cancer research with artificial intelligence: From precision patient stratification to real-world evidence. World J Gastrointest Oncol 2025; 17(10): 111339 [PMID: 41114095 DOI: 10.4251/wjgo.v17.i10.111339] |
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| URL: | https://www.wjgnet.com/1948-5204/full/v17/i10/111339.htm |
| Number | Citing Articles |
| 1 |
Sai Kiran Kuchana, Uday Kumar Repalle, Nikhilesh V. Alahari, Manpreet Kondamuri, Sai Kiran Manduva, Raghu Vamsi Vanguru, Sri Anjali Gorle, Suresh K. Alahari. Artificial Intelligence in Oncology: A Comprehensive Cross-Cancer Translational Readiness Analysis Across 18 Malignancies. Cancers 2026; 18(10) doi: 10.3390/cancers18101543
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| 2 |
Lilin Wang, Yanxin Zhang, Yi Chen. Colorectal Cancer Screening via Cost-Sensitive XGBoost: Minimizing the Asymmetric Clinical Risk. 2025 5th International Symposium on Artificial Intelligence and Big Data (AIBDF) 2025; doi: 10.1109/AIBDF67964.2025.11440761
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| 3 |
Abdurraouf Mokhtar Mahmoud, Jasmitaben Prakashbhai Touti, Syed Rubina Zaidi, Ahad Ahmed Kodipad, Clara Deambrogi. Integrating Artificial Intelligence, Circulating Tumor DNA, and Real-World Evidence to Optimize Hematologic Clinical Trials: Toward Adaptive and Learning Trial Designs. Cancers 2026; 18(7) doi: 10.3390/cancers18071173
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| 4 |
Ani Mukherjee, Neil Thomas Pfister. Targeting DNA Repair Mechanisms, Tumor Genetics, and Signaling Pathways. 2026; doi: 10.1016/B978-0-443-43976-6.00001-6
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