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Cited by in F6Publishing
For: Moezzi M, Shirbandi K, Shahvandi HK, Arjmand B, Rahim F. The diagnostic accuracy of Artificial Intelligence-Assisted CT imaging in COVID-19 disease: A systematic review and meta-analysis. Inform Med Unlocked 2021;24:100591. [PMID: 33977119 DOI: 10.1016/j.imu.2021.100591] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
Number Citing Articles
1 Komolafe TE, Cao Y, Nguchu BA, Monkam P, Olaniyi EO, Sun H, Zheng J, Yang X. Diagnostic Test Accuracy of Deep Learning Detection of COVID-19: A Systematic Review and Meta-Analysis. Acad Radiol 2021;28:1507-23. [PMID: 34649779 DOI: 10.1016/j.acra.2021.08.008] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
2 Arjmand B, Hamidpour SK, Tayanloo-beik A, Goodarzi P, Aghayan HR, Adibi H, Larijani B. Machine Learning: A New Prospect in Multi-Omics Data Analysis of Cancer. Front Genet 2022;13:824451. [DOI: 10.3389/fgene.2022.824451] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3 Kuo K, Talley PC, Chang C. The Accuracy of Machine Learning Approaches Using Non-image Data for the Prediction of COVID-19: A Meta-Analysis. International Journal of Medical Informatics 2022. [DOI: 10.1016/j.ijmedinf.2022.104791] [Reference Citation Analysis]
4 Fritsch S, Sharafutdinov K, Schuppert A, Bickenbach J. [Usage of Artificial Intelligence in the Combat against the COVID-19 Pandemic]. Anasthesiol Intensivmed Notfallmed Schmerzther 2022;57:185-97. [PMID: 35320841 DOI: 10.1055/a-1423-8039] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
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