Manetas-Stavrakakis, N.; Sotiropoulou, I.M.; Paraskevas, T.; Maneta Stavrakaki, S.; Bampatsias, D.; Xanthopoulos, A.; Papageorgiou, N.; Briasoulis, A.
Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis. J. Clin. Med. 2023, 12, 6576.
https://doi.org/10.3390/jcm12206576
AMA Style
Manetas-Stavrakakis N, Sotiropoulou IM, Paraskevas T, Maneta Stavrakaki S, Bampatsias D, Xanthopoulos A, Papageorgiou N, Briasoulis A.
Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine. 2023; 12(20):6576.
https://doi.org/10.3390/jcm12206576
Chicago/Turabian Style
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, no. 20: 6576.
https://doi.org/10.3390/jcm12206576
APA Style
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), 6576.
https://doi.org/10.3390/jcm12206576