Butler, J. J., Puleo, J., Harrington, M. C., Dahmen, J., Rosenbaum, A. J., Kerkhoffs, G. M. M. J., & Kennedy, J. G. (2024). From technical to understandable: Artificial Intelligence Large Language Models improve the readability of knee radiology reports. Knee Surgery, Sports Traumatology, Arthroscopy, 32(5), 1077. https://doi.org/10.1002/ksa.12133
Chicago Style (17th ed.) CitationButler, James J., James Puleo, Michael C. Harrington, Jari Dahmen, Andrew J. Rosenbaum, Gino M. M. J. Kerkhoffs, and John G. Kennedy. "From Technical to Understandable: Artificial Intelligence Large Language Models Improve the Readability of Knee Radiology Reports." Knee Surgery, Sports Traumatology, Arthroscopy 32, no. 5 (2024): 1077. https://doi.org/10.1002/ksa.12133.
MLA (9th ed.) CitationButler, James J., et al. "From Technical to Understandable: Artificial Intelligence Large Language Models Improve the Readability of Knee Radiology Reports." Knee Surgery, Sports Traumatology, Arthroscopy, vol. 32, no. 5, 2024, p. 1077, https://doi.org/10.1002/ksa.12133.