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Cited by in CrossRef
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]
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 approachesComputers in Biology and Medicine 2023; 165: 107388 doi: 10.1016/j.compbiomed.2023.107388
2
Yu Yang, Yu-Xuan Li, Ren-Qi Yao, Xiao-Hui Du, Chao Ren. Artificial intelligence in small intestinal diseases: Application and prospectsWorld Journal of Gastroenterology 2021; 27(25): 3734-3747 doi: 10.3748/wjg.v27.i25.3734
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 LesionsFrontiers in Pharmacology 2021; 12 doi: 10.3389/fphar.2021.629021
4
Salmaan Jawaid, Mohamed O. Othman. Artificial intelligence: an innovative approach to prognisticate the outcome of colonic resectionGastrointestinal Endoscopy 2022; 96(4): 673 doi: 10.1016/j.gie.2022.07.001
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 reviewInternational Journal of Surgery 2023; 109(4): 946 doi: 10.1097/JS9.0000000000000285
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 DatabaseCancer Control 2022; 29 doi: 10.1177/10732748221095946
7
R. Karthikha, D. Najumnissa, S. Syed Rafiammal. Effect of U-Net Hyperparameter Optimisation in Polyp Segmentation from Colonoscopy Images2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) 2022; : 1359 doi: 10.1109/ICICICT54557.2022.9917700
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 behaviorsBMC Public Health 2024; 24(1) doi: 10.1186/s12889-024-19180-8
9
晨阳 郭. Application and Prospect of Artificial Intelligence Technology in Gastrointestinal TumorsAdvances in Clinical Medicine 2022; 12(11): 10497 doi: 10.12677/ACM.2022.12111512
10
Raquel Ortigão, Diogo Libânio, Mário Dinis‐Ribeiro. The future of endoscopic resection for early gastric cancerJournal of Surgical Oncology 2022; 125(7): 1110 doi: 10.1002/jso.26851
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 cancerFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.1021625
12
Bo Zhang, Huiping Shi, Hongtao Wang. Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical ApproachJournal of Multidisciplinary Healthcare 2023; : 1779 doi: 10.2147/JMDH.S410301
13
Riaan van de Venter. CT Colonography for Radiographers2023; : 337 doi: 10.1007/978-3-031-30866-6_25
14
M. J. Akshit Aiyappa, B. Suresh Kumar Shetty. Biomedical ImagingBiological and Medical Physics, Biomedical Engineering 2024; : 63 doi: 10.1007/978-981-97-5345-1_2
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 cancerWorld Journal of Gastroenterology 2021; 27(22): 2979-2993 doi: 10.3748/wjg.v27.i22.2979
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 ReviewJournal of Clinical Medicine 2022; 11(9): 2431 doi: 10.3390/jcm11092431
17
Zili Xiao, Danian Ji, Feng Li, Zhengliang Li, Zhijun Bao. Application of Artificial Intelligence in Early Gastric Cancer DiagnosisDigestion 2022; 103(1): 69 doi: 10.1159/000519601
18
Jacopo Crippa, Donato F. Altomare, Antonino Spinelli. Cutting-Edge Research Trends in Colorectal DiseaseJournal of Clinical Medicine 2022; 11(4): 1036 doi: 10.3390/jcm11041036
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 misconceptionsWorld Journal of Gastroenterology 2021; 27(38): 6399-6414 doi: 10.3748/wjg.v27.i38.6399
20
Xiang Lin, Xinyu Yang, Yushang Yang, Hangbin Zhang, Xuan Huang. Research progress of traditional Chinese medicine as sensitizer in reversing chemoresistance of colorectal cancerFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1132141
21
Ahmad Chaddad, Yousef Katib, Lama Hassan. Future artificial intelligence tools and perspectives in medicineCurrent Opinion in Urology 2021; 31(4): 371 doi: 10.1097/MOU.0000000000000884
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 diseasesWorld Journal of Gastroenterology 2021; 27(27): 4395-4412 doi: 10.3748/wjg.v27.i27.4395
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 ApplicationsLecture Notes in Networks and Systems 2023; 540: 109 doi: 10.1007/978-981-19-6088-8_11
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 networkBiomedical Signal Processing and Control 2024; 93: 106197 doi: 10.1016/j.bspc.2024.106197
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
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
27
Ankit Srivastava, Sandhya Rai, Manish Pratap Singh, Sameer Srivastava. Computational Intelligence in OncologyStudies in Computational Intelligence 2022; 1016: 387 doi: 10.1007/978-981-16-9221-5_22
28
Yu Li, Da Zhou, Tao-Tao Liu, Xi-Zhong Shen. Application of deep learning in image recognition and diagnosis of gastric cancerArtificial Intelligence in Gastrointestinal Endoscopy 2021; 2(2): 12-24 doi: 10.37126/aige.v2.i2.12