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For: Ilhan B, Guneri P, Wilder-Smith P. The contribution of artificial intelligence to reducing the diagnostic delay in oral cancer. Oral Oncol 2021;116:105254. [PMID: 33711582 DOI: 10.1016/j.oraloncology.2021.105254] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Al-rawi N, Sultan A, Rajai B, Shuaeeb H, Alnajjar M, Alketbi M, Mohammad Y, Shetty SR, Mashrah MA. The Effectiveness of Artificial Intelligence in Detection of Oral Cancer. International Dental Journal 2022. [DOI: 10.1016/j.identj.2022.03.001] [Reference Citation Analysis]
2 Baniulyte G, Ali K. Artificial intelligence - can it be used to outsmart oral cancer? Evid Based Dent 2022;23:12-3. [PMID: 35338317 DOI: 10.1038/s41432-022-0238-y] [Reference Citation Analysis]
3 Thomaz EBAF, Costa EM, Queiroz RCS, Emmi DT, Ribeiro AGA, Silva NCD, Hugo FN, Figueiredo N. Advances and weaknesses of the work process of the oral cancer care network in Brazil: A latent class transition analysis. Community Dent Oral Epidemiol 2022;50:38-47. [PMID: 34967970 DOI: 10.1111/cdoe.12711] [Reference Citation Analysis]
4 Ranjan Misra S, Das R. Tele-screening for early detection of oral cancer during the COVID-19 pandemic era: Diagnostic pitfalls and potential misinterpretations! Oral Oncology 2022;128:105845. [DOI: 10.1016/j.oraloncology.2022.105845] [Reference Citation Analysis]
5 Alrafiah AR. Application and performance of artificial intelligence technology in cytopathology. Acta Histochem 2022;124:151890. [PMID: 35366580 DOI: 10.1016/j.acthis.2022.151890] [Reference Citation Analysis]
6 García-Pola M, Pons-Fuster E, Suárez-Fernández C, Seoane-Romero J, Romero-Méndez A, López-Jornet P. Role of Artificial Intelligence in the Early Diagnosis of Oral Cancer. A Scoping Review. Cancers (Basel) 2021;13:4600. [PMID: 34572831 DOI: 10.3390/cancers13184600] [Reference Citation Analysis]
7 Almangush A, Alabi RO, Mäkitie AA, Leivo I. Machine learning in head and neck cancer: Importance of a web-based prognostic tool for improved decision making. Oral Oncol 2021;:105452. [PMID: 34266743 DOI: 10.1016/j.oraloncology.2021.105452] [Reference Citation Analysis]
8 Su YF, Chen YJ, Tsai FT, Li WC, Hsu ML, Wang DH, Yang CC. Current Insights into Oral Cancer Diagnostics. Diagnostics (Basel) 2021;11:1287. [PMID: 34359370 DOI: 10.3390/diagnostics11071287] [Reference Citation Analysis]