| For: | Liang F, Wang S, Zhang K, Liu TJ, Li JN. Development of artificial intelligence technology in diagnosis, treatment, and prognosis of colorectal cancer. World J Gastrointest Oncol 2022; 14(1): 124-152 [PMID: 35116107 DOI: 10.4251/wjgo.v14.i1.124] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v14/i1/124.htm |
| Number | Citing Articles |
| 1 |
Jie Lei, YiJun Huang, YangLin Chen, Linglin Xia, Bo Yi. The effect of the re-segmentation method on improving the performance of rectal cancer image segmentation models. Technology and Health Care 2024; 32(3) doi: 10.3233/THC-230690
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| 2 |
Shan-Ju Lin, Yin-Chi Chen, Chih-Yin Chang, Mei-Jing Huang, Chen-Kai Young, Ru-Ting Liu, Hsin-Po Sun, Shuo-Tsung Chen. Detection of Patient’s Critical Condition Using Power BI and AI Decision Tree. Journal of Mind and Medical Sciences 2025; 12(2) doi: 10.3390/jmms12020042
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| 3 |
Xing-Liang Pan, Bo Hua, Ke Tong, Xia Li, Jin-Long Luo, Hua Yang, Ju-Rong Ding. EL-CNN: An enhanced lightweight classification method for colorectal cancer histopathological images. Biomedical Signal Processing and Control 2025; 100 doi: 10.1016/j.bspc.2024.106933
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| 4 |
Jue Hou, Rachel Zhao, Jessica Gronsbell, Yucong Lin, Clara-Lea Bonzel, Qingyi Zeng, Sinian Zhang, Brett K Beaulieu-Jones, Griffin M Weber, Thomas Jemielita, Shuyan Sabrina Wan, Chuan Hong, Tianrun Cai, Jun Wen, Vidul Ayakulangara Panickan, Kai-Li Liaw, Katherine Liao, Tianxi Cai. Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies. Journal of Medical Internet Research 2023; 25 doi: 10.2196/45662
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| 5 |
Jirong Zhang, Jimei Zhang, Juan Jin, Xicheng Jiang, Linlin Yang, Shiqi Fan, Qiao Zhang, Ming Chi. Artificial intelligence applied in cardiovascular disease: a bibliometric and visual analysis. Frontiers in Cardiovascular Medicine 2024; 11 doi: 10.3389/fcvm.2024.1323918
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| 6 |
Na Lu, Xiao Guan, Jianguo Zhu, Yuan Li, Jianping Zhang. A Contrast-Enhanced CT-Based Deep Learning System for Preoperative Prediction of Colorectal Cancer Staging and RAS Mutation. Cancers 2023; 15(18) doi: 10.3390/cancers15184497
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| 7 |
Ahmad R. Al‐Qudimat, Zainab E. Fares, Mai Elaarag, Maha Osman, Raed M. Al‐Zoubi, Omar M. Aboumarzouk. Advancing Medical Research Through Artificial Intelligence: Progressive and Transformative Strategies: A Literature Review. Health Science Reports 2025; 8(2) doi: 10.1002/hsr2.70200
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| 8 |
Ryota Nakanishi, Ken’ichi Morooka, Kazuki Omori, Satoshi Toyota, Yasushi Tanaka, Hirofumi Hasuda, Naomichi Koga, Kentaro Nonaka, Qingjiang Hu, Yu Nakaji, Tomonori Nakanoko, Koji Ando, Mitsuhiko Ota, Yasue Kimura, Eiji Oki, Yoshinao Oda, Tomoharu Yoshizumi. Artificial Intelligence-Based Prediction of Recurrence after Curative Resection for Colorectal Cancer from Digital Pathological Images. Annals of Surgical Oncology 2023; 30(6) doi: 10.1245/s10434-022-12926-x
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| 9 |
Prem Purusottam Jena, Debahuti Mishra, Kaberi Das, Pradeep Kumar Mallick. Hybrid deep learning framework for accurate classification of breast cancer histopathological images using ResNet50-GRU model. METAHEURISTICS IN ENGINEERING & ITS APPLICATIONS: METASOFT2024 2026; 3388 doi: 10.1063/5.0319136
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| 10 |
Sayan Saha, Shreya Ghosh, Suman Ghosh, Sumit Nandi, Aditi Nayak. Unraveling the complexities of colorectal cancer and its promising therapies – An updated review. International Immunopharmacology 2024; 143 doi: 10.1016/j.intimp.2024.113325
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| 11 |
Gulshan Kumar, Swati Verma, Rishabha Malviya, Sarvesh Paliwal, Chaitanay Vinayak Narayan. A Revolution in Healthcare: AI-powered Cancer Imaging. Current Cancer Therapy Reviews 2025; 21(6) doi: 10.2174/0115733947304178240804182938
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| 12 |
Shi-yi Qi, Si-jia Zhang, Li-li Lin, Yu-rong Li, Jian-guo Chen, You-cong Ni, Xin Du, Jie Zhang, Pin Ge, Gui-hua Liu, Jiang-yun Wu, Shen Lin, Meng Gong, Jin-wen Lin, Lan-fang Chen, Ling-ling He, Dong Lin. Quantifying attention in children with intellectual and developmental disabilities through multicenter electrooculogram signal analysis. Scientific Reports 2024; 14(1) doi: 10.1038/s41598-024-70304-x
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| 13 |
Shuo Gao, Hao Zhang, Linbin Lai, Menglei Xu, Hong Yu, Airong Qian, Wenjuan Zhang. Bone Cell Biomechanics, Mechanobiology and Bone Diseases. 2024; doi: 10.1016/B978-0-323-96123-3.00014-2
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| 14 |
Xing-Liang Pan, Ju-Rong Ding, Xia Li, Shuo Liu, Jie Wang, Bo Hua, Guo-Zhi Tang, Chang-Hua Zhong. MSBP-Net: A multi-scale boundary prediction network for automated polyp segmentation. Pattern Recognition 2026; 170 doi: 10.1016/j.patcog.2025.112101
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| 15 |
Zhiyang Xu, Yanzi Miao, Guangxia Chen, Shiyu Liu, Hu Chen. GLGFormer: Global Local Guidance Network for Mucosal Lesion Segmentation in Gastrointestinal Endoscopy Images. Journal of Imaging Informatics in Medicine 2024; 37(6) doi: 10.1007/s10278-024-01162-2
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| 16 |
Senobar Naderian, Farzin Soleimanzadeh, Leila Nikniaz, Sarvin Sanaie, Fatemeh Sadeghi‐Ghyassi, Taha Samad‐Soltani. A Systematic Review of Artificial Intelligence‐Based Clinical Decision Support Systems in Prostate Cancer Management. Healthcare Technology Letters 2025; 12(1) doi: 10.1049/htl2.70026
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| 17 |
Christos B. Zachariadis, Helen C. Leligou. Harnessing Artificial Intelligence for Automated Diagnosis. Information 2024; 15(6) doi: 10.3390/info15060311
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| 18 |
Bo Gao. Opportunities and challenges for young physicians in the era of artificial intelligence: current status and future perspectives. Postgraduate Medical Journal 2025; 101(1198) doi: 10.1093/postmj/qgaf052
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| 19 |
Arian Mansur, Zain Saleem, Tarig Elhakim, Dania Daye. Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directions. Frontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1065402
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| 20 |
Joel H. Bortz, Hesta Friedrich-Nel. CT Colonography for Radiographers. 2023; doi: 10.1007/978-3-031-30866-6_15
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| 21 |
Jothiraj Selvaraj, A. K. Jayanthy. Design and development of artificial intelligence‐based application programming interface for early detection and diagnosis of colorectal cancer from wireless capsule endoscopy images. International Journal of Imaging Systems and Technology 2024; 34(2) doi: 10.1002/ima.23034
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| 22 |
Liviu Bilteanu, Corneliu Octavian Dumitru, Andreea Dumachi, Florin Alexandrescu, Radu Popa, Octavian Buiu, Andreea Iren Serban. Towards Explainable Machine Learning from Remote Sensing to Medical Images—Merging Medical and Environmental Data into Public Health Knowledge Maps. Machine Learning and Knowledge Extraction 2025; 7(4) doi: 10.3390/make7040140
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| 23 |
Qing Lu, Jiaojiao Zhang, Qianwen Xue, Jinping Ma, Sheng Fang, Hui Ma, Yulin Zhang, Longbo Zheng. CAAFE‐ResNet: A ResNet With Channel Attention‐Augmented Feature Extraction for Prognostic Assessment in Rectal Cancer. IET Systems Biology 2025; 19(1) doi: 10.1049/syb2.70030
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| 24 |
Houda Saif ALGhafri, Chia S. Lim. Fine-Tuning Models for Histopathological Classification of Colorectal Cancer. Diagnostics 2025; 15(15) doi: 10.3390/diagnostics15151947
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| 25 |
Yingxia Luo, Yirong Wang, Ying Shan, Yao Yao. Construction and application of the “coordinate multidisciplinary care model” in elderly patients undergoing radical cystectomy based on QCC. Asia-Pacific Journal of Oncology Nursing 2025; 12 doi: 10.1016/j.apjon.2025.100727
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| 26 |
Balamurugan Balusamy, Rajesh Kumar Dhanaraj, Tamizharasi Seetharaman, Vandana Sharma, Achyut Shankar, Wattana Viriyasitavat. Design control and management of intelligent and autonomous nanorobots with artificial intelligence for Prevention and monitoring of blood related diseases. Engineering Applications of Artificial Intelligence 2024; 131 doi: 10.1016/j.engappai.2023.107798
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| 27 |
Pedro Davila-Piñón, Teresa Pedrido, Astrid Irene Díez-Martín, Jesús Herrero, Manuel Puga, Laura Rivas, Eloy Sánchez, Sara Zarraquiños, Noel Pin, Pablo Vega, Santiago Soto, David Remedios, Rubén Domínguez-Carbajales, Florentino Fdez-Riverola, Alba Nogueira-Rodríguez, Daniel Glez-Peña, Miguel Reboiro-Jato, Hugo López-Fernández, Joaquín Cubiella. PolyDeep Advance 1: Clinical Validation of a Computer-Aided Detection System for Colorectal Polyp Detection with a Second Observer Design. Diagnostics 2025; 15(4) doi: 10.3390/diagnostics15040458
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| 28 |
Bernardo Pereira Cabral, Luiza Amara Maciel Braga, Shabbir Syed-Abdul, Fabio Batista Mota. Future of Artificial Intelligence Applications in Cancer Care: A Global Cross-Sectional Survey of Researchers. Current Oncology 2023; 30(3) doi: 10.3390/curroncol30030260
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| 29 |
Zugang Yin, Chenhui Yao, Limin Zhang, Shaohua Qi. Application of artificial intelligence in diagnosis and treatment of colorectal cancer: A novel Prospect. Frontiers in Medicine 2023; 10 doi: 10.3389/fmed.2023.1128084
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| 30 |
N-glycan signatures of immunoglobulins-depleted serum proteins in colorectal cancer. Glycoconjugate Journal 2026; 43(1) doi: 10.1007/s10719-026-10216-2
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| 31 |
Olabode Gbobaniyi, Daniela Tincani, Peter Emelone. Impact of AI and Robotics on the Medical Tourism Industry. Advances in Hospitality, Tourism, and the Services Industry 2024; doi: 10.4018/979-8-3693-2248-2.ch005
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| 32 |
K. G. Suma, Gurram Sunitha, Mohammad Gouse Galety. Machine Learning Algorithms Using Scikit and TensorFlow Environments. Advances in Systems Analysis, Software Engineering, and High Performance Computing 2023; doi: 10.4018/978-1-6684-8531-6.ch014
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| 33 |
Yaojun Rong, Guiyu Zhang, Wenhao Ye, Linhua Qi, Xiaojiang Hao, Xiaolin Li, Wuhong Zhang, Yangfa Chao, Shaodong Gu. Uncovering the Effects and Molecular Mechanisms of Shaoyao Decoction Against Colorectal Cancer Using Network Pharmacology Analysis Coupled With Experimental Validation and Gut Microbiota Analysis. Cancer Medicine 2025; 14(6) doi: 10.1002/cam4.70813
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