Journal of Orthopaedics

Displaying 1 - 6 of 6
Koehne, N. H., Locke, A. R., Schroen, C. A., Ramey, M., & Hausman, M. R. (2025). Randomized trials evaluating volar locking plates against casting of distal radius fractures are statistically fragile: A systematic review. Journal of Orthopaedics, 64, 91–96. https://doi.org/10.1016/j.jor.2024.11.014
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Thomas, L., Chung, J. H., Lu, S., & Essilfie, A. (2024). Machine learning used to determine features of importance linked to overnight stay after patellar tendon repair. Journal of Orthopaedics, 57, 55–59. https://doi.org/10.1016/j.jor.2024.06.006
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Nham, F. H., Kassis, E., Xu, W., El-Othmani, M. M., & Sarpong, N. O. (2024). Race and ethnic disparities arthroplasty trends and hotspots: Bibliometric analysis. Journal of Orthopaedics, 56, 141–150. https://doi.org/10.1016/j.jor.2024.05.021
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Nham, F. H., Court, T., Zalikha, A. K., El-Othmani, M. M., & Shah, R. P. (2023). Assessing the predictive capacity of machine learning models using patient-specific variables in determining in-hospital outcomes after THA. Journal of Orthopaedics, 41, 39–46. https://doi.org/10.1016/j.jor.2023.05.012
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Kolin, D. A., Mackie, A. T., Heath, M. R., Uppstrom, T. J., Green, D. W., & Fabricant, P. D. (2023). No difference in patient reported outcomes between cohorts undergoing lesion-specific surgery for osteochondritis dissecans of the knee. Journal of Orthopaedics, 37, 22–26. https://doi.org/10.1016/j.jor.2023.02.001
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Zalikha, A. K., El-Othmani, M. M., & Shah, R. P. (2022). Predictive capacity of four machine learning models for in-hospital postoperative outcomes following total knee arthroplasty. Journal of Orthopaedics, 31, 22–28. https://doi.org/10.1016/j.jor.2022.03.006
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