O, M., A, A., T, H., K, K., M, S., J, C., . . . G, J. (2025). Deep learning classification models demonstrate high accuracy and clinical potential in radiograph interpretation in the arthroplasty clinical pathway: A systematic review and meta-analysis. Journal of experimental orthopaedics, 12(3), e70342. https://doi.org/10.1002/jeo2.70342
Chicago Style (17th ed.) CitationO, Musbahi, Ahmed A, Hall T, Kutyla K, Sadiq M, Cobb J, Bottle A, Van Arkel R, and Jones G. "Deep Learning Classification Models Demonstrate High Accuracy and Clinical Potential in Radiograph Interpretation in the Arthroplasty Clinical Pathway: A Systematic Review and Meta-analysis." Journal of Experimental Orthopaedics 12, no. 3 (2025): e70342. https://doi.org/10.1002/jeo2.70342.
MLA (9th ed.) CitationO, Musbahi, et al. "Deep Learning Classification Models Demonstrate High Accuracy and Clinical Potential in Radiograph Interpretation in the Arthroplasty Clinical Pathway: A Systematic Review and Meta-analysis." Journal of Experimental Orthopaedics, vol. 12, no. 3, 2025, p. e70342, https://doi.org/10.1002/jeo2.70342.