APA (7th ed.) Citation

Harris, J. D. (2024). Editorial Commentary: Artificial Intelligence Analysis of Biomedical, Large, Clinical Registry Data Using Machine Learning Requires Tens of Thousands of Subjects and a Focus on Substantial Clinical Benefit: Minimal Clinically Important Difference Is too Low a Bar. Arthroscopy, 40(4), 1164. https://doi.org/10.1016/j.arthro.2023.10.035

Chicago Style (17th ed.) Citation

Harris, Joshua D. "Editorial Commentary: Artificial Intelligence Analysis of Biomedical, Large, Clinical Registry Data Using Machine Learning Requires Tens of Thousands of Subjects and a Focus on Substantial Clinical Benefit: Minimal Clinically Important Difference Is Too Low a Bar." Arthroscopy 40, no. 4 (2024): 1164. https://doi.org/10.1016/j.arthro.2023.10.035.

MLA (9th ed.) Citation

Harris, Joshua D. "Editorial Commentary: Artificial Intelligence Analysis of Biomedical, Large, Clinical Registry Data Using Machine Learning Requires Tens of Thousands of Subjects and a Focus on Substantial Clinical Benefit: Minimal Clinically Important Difference Is Too Low a Bar." Arthroscopy, vol. 40, no. 4, 2024, p. 1164, https://doi.org/10.1016/j.arthro.2023.10.035.