Kunze, K. N., Jang, S. J., Li, T., Mayman, D. A., Vigdorchik, J. M., Jerabek, S. A., . . . Sculco, P. K. (2023). Radiographic findings involved in knee osteoarthritis progression are associated with pain symptom frequency and baseline disease severity: A population-level analysis using deep learning. Knee Surgery, Sports Traumatology, Arthroscopy, 31(2), 586. https://doi.org/10.1007/s00167-022-07213-x
Chicago Style (17th ed.) CitationKunze, Kyle N., Seong Jun Jang, Tim Li, David A. Mayman, Jonathan M. Vigdorchik, Seth A. Jerabek, Austin T. Fragomen, and Peter K. Sculco. "Radiographic Findings Involved in Knee Osteoarthritis Progression Are Associated with Pain Symptom Frequency and Baseline Disease Severity: A Population-level Analysis Using Deep Learning." Knee Surgery, Sports Traumatology, Arthroscopy 31, no. 2 (2023): 586. https://doi.org/10.1007/s00167-022-07213-x.
MLA (9th ed.) CitationKunze, Kyle N., et al. "Radiographic Findings Involved in Knee Osteoarthritis Progression Are Associated with Pain Symptom Frequency and Baseline Disease Severity: A Population-level Analysis Using Deep Learning." Knee Surgery, Sports Traumatology, Arthroscopy, vol. 31, no. 2, 2023, p. 586, https://doi.org/10.1007/s00167-022-07213-x.