Cite
Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis.
MLA
Manetas-Stavrakakis, Nikolaos, et al. “Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis.” Journal of Clinical Medicine, vol. 12, no. 20, Oct. 2023. EBSCOhost, https://doi.org/10.3390/jcm12206576.
APA
Manetas-Stavrakakis, N., Sotiropoulou, I. M., Paraskevas, T., Maneta Stavrakaki, S., Bampatsias, D., Xanthopoulos, A., Papageorgiou, N., & Briasoulis, A. (2023). Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine, 12(20). https://doi.org/10.3390/jcm12206576
Chicago
Manetas-Stavrakakis, Nikolaos, Ioanna Myrto Sotiropoulou, Themistoklis Paraskevas, Stefania Maneta Stavrakaki, Dimitrios Bampatsias, Andrew Xanthopoulos, Nikolaos Papageorgiou, and Alexandros Briasoulis. 2023. “Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis.” Journal of Clinical Medicine 12 (20). doi:10.3390/jcm12206576.