APA (7th ed.) Citation

RY, K., C, Y., S, Z., J, S., AJ, V., KA, R., . . . A, V. (2024). Clinical utility of an artificial intelligence radiomics-based tool for risk stratification of pulmonary nodules. JNCI cancer spectrum, 8(5), . https://doi.org/10.1093/jncics/pkae086

Chicago Style (17th ed.) Citation

RY, Kim, et al. "Clinical Utility of an Artificial Intelligence Radiomics-based Tool for Risk Stratification of Pulmonary Nodules." JNCI Cancer Spectrum 8, no. 5 (2024). https://doi.org/10.1093/jncics/pkae086.

MLA (9th ed.) Citation

RY, Kim, et al. "Clinical Utility of an Artificial Intelligence Radiomics-based Tool for Risk Stratification of Pulmonary Nodules." JNCI Cancer Spectrum, vol. 8, no. 5, 2024, https://doi.org/10.1093/jncics/pkae086.