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Cited by in CrossRef
For: Cianci P, Restini E. Artificial intelligence in colorectal cancer management. Artif Intell Cancer 2021; 2(6): 79-89 [DOI: 10.35713/aic.v2.i6.79]
URL: https://www.wjgnet.com/1007-9327/full/v2/i6/79.htm
Number Citing Articles
1
Cem Simsek, Mete Ucdal, Suayib Yalcin, Derya Karakoc. A Novel Ensemble Framework for Comprehensive Early-Stage Colorectal Cancer Diagnosis, Prognosis, and Treatment: Integration of Gastroenterology-Specific Transformer Language Models and Multiple Decision TreesJournal of Clinical Medicine 2025; 14(13): 4467 doi: 10.3390/jcm14134467
2
Riaan van de Venter. CT Colonography for Radiographers2023; : 337 doi: 10.1007/978-3-031-30866-6_25
3
Prakash Pandurangan, Anuja Dinesh Rakshi, Mohana Sundaram Arun Sundar, Antony V. Samrat, S.S. Meenambiga, V. Vedanarayanan, R. Meena, S. Karthick Raja Namasivayam, Meivelu Moovendhan. Integrating cutting-edge technologies: AI, IoT, blockchain and nanotechnology for enhanced diagnosis and treatment of colorectal cancer - A reviewJournal of Drug Delivery Science and Technology 2024; 91: 105197 doi: 10.1016/j.jddst.2023.105197