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Cited by in CrossRef
For: Cao B, Zhang KC, Wei B, Chen L. Status quo and future prospects of artificial neural network from the perspective of gastroenterologists. World J Gastroenterol 2021; 27(21): 2681-2709 [PMID: 34135549 DOI: 10.3748/wjg.v27.i21.2681]
URL: https://www.wjgnet.com/1007-9327/full/v27/i21/2681.htm
Number Citing Articles
1
Tao Shen, Haiyang Wang, Rongkang Hu, Yanni Lv. Developing neural network diagnostic models and potential drugs based on novel identified immune-related biomarkers for celiac diseaseHuman Genomics 2023; 17(1) doi: 10.1186/s40246-023-00526-z
2
Paul Fawaz, Patrick El Sayegh, Bart Vande Vannet. What is the current state of artificial intelligence applications in dentistry and orthodontics?Journal of Stomatology, Oral and Maxillofacial Surgery 2023; 124(5): 101524 doi: 10.1016/j.jormas.2023.101524
3
Shahad Altamimi, Qasem Abu Al-Haija. Maximizing intrusion detection efficiency for IoT networks using extreme learning machineDiscover Internet of Things 2024; 4(1) doi: 10.1007/s43926-024-00060-x
4
Xinyu Liu, Xiaoqiang Huang, Jindong Zhao, Yanjin Su, Lu Shen, Yuhong Duan, Jing Gong, Zhihai Zhang, Shenghua Piao, Qing Zhu, Xianglu Rong, Jiao Guo. Application of machine learning in Chinese medicine differentiation of dampness-heat pattern in patients with type 2 diabetes mellitusHeliyon 2023; 9(2): e13289 doi: 10.1016/j.heliyon.2023.e13289
5
Ming‐Ying Lu, Wan‐Long Chuang, Ming‐Lung Yu. The role of artificial intelligence in the management of liver diseasesThe Kaohsiung Journal of Medical Sciences 2024; 40(11): 962 doi: 10.1002/kjm2.12901
6
P. Padmavathi, J. Harikiran. Wireless Capsule Endoscopy Infected Images Detection and Classification Using MobileNetV2-BiLSTM ModelInternational Journal of Image and Graphics 2023; 23(05) doi: 10.1142/S0219467823500419
7
Yufei Yang, Lijun Xu, Yuqi Qiao, Tianrong Wang, Qing Zheng. Construction of a neural network diagnostic model and investigation of immune infiltration characteristics for Crohn’s diseaseFrontiers in Genetics 2022; 13 doi: 10.3389/fgene.2022.976578
8
Luwei Li. Machine Learning and Data Mining Annual Volume 2023Artificial Intelligence 2023; 21 doi: 10.5772/intechopen.113286
9
Xiaohao Liu, Zhuyun Cai, Manman Pei, Hua Zeng, Lijuan Yang, Wentao Cao, Xuhui Zhou, Feng Chen. Bacterial Cellulose‐Based Bandages with Integrated Antibacteria and Electrical Stimulation for Advanced Wound ManagementAdvanced Healthcare Materials 2024; 13(7) doi: 10.1002/adhm.202302893
10
Weigen Xiong, Daizun Zou, Zhaojing Fang, Xiuxiu Zhao, Chen Chen, Jianjun Zou, Yanna Si. An interpretable artificial neural network model for predicting hypoxemia via an online tool in adult (18–64) patients during esophagogastroduodenoscopyDIGITAL HEALTH 2023; 9 doi: 10.1177/20552076231180522
11
Shicheng Liu, Ruidong Chang, Jian Zuo, Ronald J. Webber, Feng Xiong, Na Dong. Application of Artificial Neural Networks in Construction Management: Current Status and Future DirectionsApplied Sciences 2021; 11(20): 9616 doi: 10.3390/app11209616
12
Fanji Qiu, Jinfeng Li, Rongrong Zhang, Kirsten Legerlotz. Use of artificial neural networks in the prognosis of musculoskeletal diseases—a scoping reviewBMC Musculoskeletal Disorders 2023; 24(1) doi: 10.1186/s12891-023-06195-2
13
Qiaozhi Hu, Hualing Wang, Ting Xu. Predicting Hepatotoxicity Associated with Low-Dose Methotrexate Using Machine LearningJournal of Clinical Medicine 2023; 12(4): 1599 doi: 10.3390/jcm12041599