For: | Wang KW, Dong M. Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects. World J Gastroenterol 2020; 26(34): 5090-5100 [PMID: 32982111 DOI: 10.3748/wjg.v26.i34.5090] |
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URL: | https://www.wjgnet.com/1007-9327/full/v26/i34/5090.htm |
Number | Citing Articles |
1 |
Yujie Jing, Chen Li, Tianming Du, Tao Jiang, Hongzan Sun, Jinzhu Yang, Liyu Shi, Minghe Gao, Marcin Grzegorzek, Xiaoyan Li. A comprehensive survey of intestine histopathological image analysis using machine vision approaches. Computers in Biology and Medicine 2023; 165: 107388 doi: 10.1016/j.compbiomed.2023.107388
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2 |
Yu Yang, Yu-Xuan Li, Ren-Qi Yao, Xiao-Hui Du, Chao Ren. Artificial intelligence in small intestinal diseases: Application and prospects. World Journal of Gastroenterology 2021; 27(25): 3734-3747 doi: 10.3748/wjg.v27.i25.3734
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3 |
Cui Guo, Xingdong Kang, Fang Cao, Jian Yang, Yimin Xu, Xiaoqiang Liu, Yuan Li, Xiumei Ma, Xiaoling Fu. Network Pharmacology and Molecular Docking on the Molecular Mechanism of Luo-hua-zi-zhu (LHZZ) Granule in the Prevention and Treatment of Bowel Precancerous Lesions. Frontiers in Pharmacology 2021; 12 doi: 10.3389/fphar.2021.629021
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4 |
Salmaan Jawaid, Mohamed O. Othman. Artificial intelligence: an innovative approach to prognisticate the outcome of colonic resection. Gastrointestinal Endoscopy 2022; 96(4): 673 doi: 10.1016/j.gie.2022.07.001
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5 |
Aashna Mehta, Harendra Kumar, Katia Yazji, Andrew A. Wireko, Jai Sivanandan Nagarajan, Bikona Ghosh, Ahmad Nahas, Luis Morales Ojeda, Ayush Anand, Medha Sharath, Helen Huang, Tulika Garg, Arda Isik. Effectiveness of artificial intelligence-assisted colonoscopy in early diagnosis of colorectal cancer: a systematic review. International Journal of Surgery 2023; 109(4): 946 doi: 10.1097/JS9.0000000000000285
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6 |
Ibrahim H. Musa, Lukman O. Afolabi, Ibrahim Zamit, Taha H. Musa, Hassan H. Musa, Andrew Tassang, Tosin Y. Akintunde, Wei Li. Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database. Cancer Control 2022; 29 doi: 10.1177/10732748221095946
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7 |
R. Karthikha, D. Najumnissa, S. Syed Rafiammal. Effect of U-Net Hyperparameter Optimisation in Polyp Segmentation from Colonoscopy Images. 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) 2022; : 1359 doi: 10.1109/ICICICT54557.2022.9917700
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8 |
Tayebeh Rakhshani, Elham Razeghi, Seyyed Mansour Kashfi, Amirhossein Kamyab, Ali Khani Jeihooni. The effect of educational intervention based on health belief model on colorectal cancer screening behaviors. BMC Public Health 2024; 24(1) doi: 10.1186/s12889-024-19180-8
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9 |
晨阳 郭. Application and Prospect of Artificial Intelligence Technology in Gastrointestinal Tumors. Advances in Clinical Medicine 2022; 12(11): 10497 doi: 10.12677/ACM.2022.12111512
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10 |
Raquel Ortigão, Diogo Libânio, Mário Dinis‐Ribeiro. The future of endoscopic resection for early gastric cancer. Journal of Surgical Oncology 2022; 125(7): 1110 doi: 10.1002/jso.26851
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11 |
Jie Feng, Shang rui Yu, Yao ping Zhang, Lina Qu, Lina Wei, Peng fei Wang, Li juan Zhu, Yanfeng Bao, Xiao gang Lei, Liang liang Gao, Yan hu Feng, Yi Yu, Xiao jun Huang. A system based on deep convolutional neural network improves the detection of early gastric cancer. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.1021625
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12 |
Bo Zhang, Huiping Shi, Hongtao Wang. Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach. Journal of Multidisciplinary Healthcare 2023; : 1779 doi: 10.2147/JMDH.S410301
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13 |
Riaan van de Venter. CT Colonography for Radiographers. 2023; : 337 doi: 10.1007/978-3-031-30866-6_25
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14 |
M. J. Akshit Aiyappa, B. Suresh Kumar Shetty. Biomedical Imaging. Biological and Medical Physics, Biomedical Engineering 2024; : 63 doi: 10.1007/978-981-97-5345-1_2
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15 |
Yu-Jer Hsiao, Yuan-Chih Wen, Wei-Yi Lai, Yi-Ying Lin, Yi-Ping Yang, Yueh Chien, Aliaksandr A Yarmishyn, De-Kuang Hwang, Tai-Chi Lin, Yun-Chia Chang, Ting-Yi Lin, Kao-Jung Chang, Shih-Hwa Chiou, Ying-Chun Jheng. Application of artificial intelligence-driven endoscopic screening and diagnosis of gastric cancer. World Journal of Gastroenterology 2021; 27(22): 2979-2993 doi: 10.3748/wjg.v27.i22.2979
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16 |
Stephanie Taha-Mehlitz, Silvio Däster, Laura Bach, Vincent Ochs, Markus von Flüe, Daniel Steinemann, Anas Taha. Modern Machine Learning Practices in Colorectal Surgery: A Scoping Review. Journal of Clinical Medicine 2022; 11(9): 2431 doi: 10.3390/jcm11092431
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17 |
Zili Xiao, Danian Ji, Feng Li, Zhengliang Li, Zhijun Bao. Application of Artificial Intelligence in Early Gastric Cancer Diagnosis. Digestion 2022; 103(1): 69 doi: 10.1159/000519601
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18 |
Jacopo Crippa, Donato F. Altomare, Antonino Spinelli. Cutting-Edge Research Trends in Colorectal Disease. Journal of Clinical Medicine 2022; 11(4): 1036 doi: 10.3390/jcm11041036
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19 |
Michelle Viscaino, Javier Torres Bustos, Pablo Muñoz, Cecilia Auat Cheein, Fernando Auat Cheein. Artificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptions. World Journal of Gastroenterology 2021; 27(38): 6399-6414 doi: 10.3748/wjg.v27.i38.6399
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20 |
Xiang Lin, Xinyu Yang, Yushang Yang, Hangbin Zhang, Xuan Huang. Research progress of traditional Chinese medicine as sensitizer in reversing chemoresistance of colorectal cancer. Frontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1132141
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21 |
Ahmad Chaddad, Yousef Katib, Lama Hassan. Future artificial intelligence tools and perspectives in medicine. Current Opinion in Urology 2021; 31(4): 371 doi: 10.1097/MOU.0000000000000884
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22 |
M Alvaro Berbís, José Aneiros-Fernández, F Javier Mendoza Olivares, Enrique Nava, Antonio Luna. Role of artificial intelligence in multidisciplinary imaging diagnosis of gastrointestinal diseases. World Journal of Gastroenterology 2021; 27(27): 4395-4412 doi: 10.3748/wjg.v27.i27.4395
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23 |
Susmitha Valli Gogula, Y. Vijayalata, H. Satya Akash, D. Thrinesh, M. Nagaraju, Md. Mubasheer Uddin. Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Lecture Notes in Networks and Systems 2023; 540: 109 doi: 10.1007/978-981-19-6088-8_11
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24 |
R. Karthikha, D. Najumnissa Jamal, S. Syed Rafiammal. An approach of polyp segmentation from colonoscopy images using Dilated-U-Net-Seg – A deep learning network. Biomedical Signal Processing and Control 2024; 93: 106197 doi: 10.1016/j.bspc.2024.106197
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25 |
Zihua Lu, Youming Xu, Liwen Yao, Wei Zhou, Wei Gong, Genhua Yang, Mingwen Guo, Beiping Zhang, Xu Huang, Chunping He, Rui Zhou, Yunchao Deng, Honggang Yu. Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video). Gastrointestinal Endoscopy 2022; 95(6): 1186 doi: 10.1016/j.gie.2021.11.049
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26 |
Stefania Chetcuti Zammit, Reena Sidhu. Artificial intelligence within the small bowel: are we lagging behind?. Current Opinion in Gastroenterology 2022; 38(3): 307 doi: 10.1097/MOG.0000000000000827
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27 |
Ankit Srivastava, Sandhya Rai, Manish Pratap Singh, Sameer Srivastava. Computational Intelligence in Oncology. Studies in Computational Intelligence 2022; 1016: 387 doi: 10.1007/978-981-16-9221-5_22
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28 |
Yu Li, Da Zhou, Tao-Tao Liu, Xi-Zhong Shen. Application of deep learning in image recognition and diagnosis of gastric cancer. Artificial Intelligence in Gastrointestinal Endoscopy 2021; 2(2): 12-24 doi: 10.37126/aige.v2.i2.12
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