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Cited by in CrossRef
For: Hung M, Park J, Hon ES, Bounsanga J, Moazzami S, Ruiz-Negrón B, Wang D. Artificial intelligence in dentistry: Harnessing big data to predict oral cancer survival. World J Clin Oncol 2020; 11(11): 918-934 [PMID: 33312886 DOI: 10.5306/wjco.v11.i11.918]
URL: https://www.wjgnet.com/2218-4333/full/v11/i11/918.htm
Number Citing Articles
1
Mohamed Ibrahim, Zeinab Fathalla, Adel Al Fatease, Ali H. Alamri, Hamdy Abdelkader. Breast cancer epidemiology, diagnostic barriers, and contemporary trends in breast nanotheranostics and mechanisms of targetingExpert Opinion on Drug Delivery 2024; : 1 doi: 10.1080/17425247.2024.2412823
2
Ruiyang Ren, Haozhe Luo, Chongying Su, Yang Yao, Wen Liao. Machine learning in dental, oral and craniofacial imaging: a review of recent progressPeerJ 2021; 9: e11451 doi: 10.7717/peerj.11451
3
Maryam Ghaffari, Yi Zhu, Annie Shrestha. A review of advancements of artificial intelligence in dentistryDentistry Review 2024; 4(2): 100081 doi: 10.1016/j.dentre.2024.100081
4
Mohammad Moharrami, Parnia Azimian Zavareh, Erin Watson, Sonica Singhal, Alistair E. W. Johnson, Ali Hosni, Carlos Quinonez, Michael Glogauer, John Adeoye. Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic reviewPLOS ONE 2024; 19(7): e0307531 doi: 10.1371/journal.pone.0307531
5
Nayeon Choi, Junghyun Kim, Heejun Yi, HeeJung Kim, Tae Hwan Kim, Myung Jin Chung, Migyeong Ji, Zero Kim, Young-Ik Son. The use of artificial intelligence models to predict survival in patients with laryngeal squamous cell carcinomaScientific Reports 2023; 13(1) doi: 10.1038/s41598-023-35627-1
6
Hadiza Galadima, Rexford Anson-Dwamena, Ashley Johnson, Ghalib Bello, Georges Adunlin, James Blando. Machine Learning as a Tool for Early Detection: A Focus on Late-Stage Colorectal Cancer across Socioeconomic SpectrumsCancers 2024; 16(3): 540 doi: 10.3390/cancers16030540
7
Reji Mathew, Stephen Palatinus, Soumya Padala, Abdulrahman Alshehri, Wael Awadh, Shilpa Bhandi, Jacob Thomas, Shankargouda Patil. Neural networks for classification of cervical vertebrae maturation: a systematic reviewThe Angle Orthodontist 2022; 92(6): 796 doi: 10.2319/031022-210.1
8
Khushboo Bansal, R. K. Bathla, Yogesh Kumar. Deep transfer learning techniques with hybrid optimization in early prediction and diagnosis of different types of oral cancerSoft Computing 2022;  doi: 10.1007/s00500-022-07246-x
9
Han Yu, Sung Jun Ma, Mark Farrugia, Austin J. Iovoli, Kimberly E. Wooten, Vishal Gupta, Ryan P. McSpadden, Moni A. Kuriakose, Michael R. Markiewicz, Jon M. Chan, Wesley L. Hicks, Mary E. Platek, Anurag K. Singh. Machine Learning Incorporating Host Factors for Predicting Survival in Head and Neck Squamous Cell Carcinoma PatientsCancers 2021; 13(18): 4559 doi: 10.3390/cancers13184559
10
Khalid Shaikh, Sreelekshmi Vivek Bekal, Hesham Fathi Ahmed Marei, Walid Shaaban Moustafa Elsayed, Dusan Surdilovic, Lubna Abdel Jawad. Artificial Intelligence in Dentistry2023; : 53 doi: 10.1007/978-3-031-19715-4_3
11
Erika Barbara Abreu Fonseca Thomaz, Elisa Miranda Costa, Rejane Christine de Sousa Queiroz, Danielle Tupinambá Emmi, Ana Graziela Araújo Ribeiro, Núbia Cristina da Silva, Fernando Neves Hugo, Nilcema Figueiredo. Advances and weaknesses of the work process of the oral cancer care network in Brazil: A latent class transition analysisCommunity Dentistry and Oral Epidemiology 2022; 50(1): 38 doi: 10.1111/cdoe.12711
12
Shriniket Dixit, Anant Kumar, Kathiravan Srinivasan. A Current Review of Machine Learning and Deep Learning Models in Oral Cancer Diagnosis: Recent Technologies, Open Challenges, and Future Research DirectionsDiagnostics 2023; 13(7): 1353 doi: 10.3390/diagnostics13071353
13
Lei Zhang, Qixiang Zhong, Zhenglun Yu, Syed Hassan Ahmed. [Retracted] Optimization of Tumor Disease Monitoring in Medical Big Data Environment Based on High‐Order Simulated Annealing Neural Network AlgorithmComputational Intelligence and Neuroscience 2021; 2021(1) doi: 10.1155/2021/8996673
14
M. Indu, Vidya Gurram Shankar, Latha Mary Cherian, Revathi Krishna, Sabu Paul, Pradeesh Sathyan. Assessment of knowledge, attitude, and practice regarding artificial intelligence in histopathologySaudi Journal of Oral Sciences 2022; 9(3): 157 doi: 10.4103/sjoralsci.sjoralsci_19_22
15
Xi Wang, Bin-bin Li. Deep Learning in Head and Neck Tumor Multiomics Diagnosis and Analysis: Review of the LiteratureFrontiers in Genetics 2021; 12 doi: 10.3389/fgene.2021.624820
16
Francisco Carrillo‐Perez, Oscar E. Pecho, Juan Carlos Morales, Rade D. Paravina, Alvaro Della Bona, Razvan Ghinea, Rosa Pulgar, María del Mar Pérez, Luis Javier Herrera. Applications of artificial intelligence in dentistry: A comprehensive reviewJournal of Esthetic and Restorative Dentistry 2022; 34(1): 259 doi: 10.1111/jerd.12844
17
S. Canty Sandra, Anusha Raghavan, P. D. Madan Kumar. Application of artificial intelligence in the diagnosis and survival prediction of patients with oral cancerJournal of Oral Research and Review 2022; 14(2): 154 doi: 10.4103/jorr.jorr_65_21
18
Celina Silvia Stafie, Irina-Georgeta Sufaru, Cristina Mihaela Ghiciuc, Ingrid-Ioana Stafie, Eduard-Constantin Sufaru, Sorina Mihaela Solomon, Monica Hancianu. Exploring the Intersection of Artificial Intelligence and Clinical Healthcare: A Multidisciplinary ReviewDiagnostics 2023; 13(12): 1995 doi: 10.3390/diagnostics13121995