APA (7th ed.) Citation

J, Z., Y, J., Q, H., & S, Y. (2024). Diagnostic and predictive value of radiomics-based machine learning for intracranial aneurysm rupture status: A systematic review and meta-analysis. Neurosurgical review, 47(1), 845. https://doi.org/10.1007/s10143-024-03086-5

Chicago Style (17th ed.) Citation

J, Zhong, Jiang Y, Huang Q, and Yang S. "Diagnostic and Predictive Value of Radiomics-based Machine Learning for Intracranial Aneurysm Rupture Status: A Systematic Review and Meta-analysis." Neurosurgical Review 47, no. 1 (2024): 845. https://doi.org/10.1007/s10143-024-03086-5.

MLA (9th ed.) Citation

J, Zhong, et al. "Diagnostic and Predictive Value of Radiomics-based Machine Learning for Intracranial Aneurysm Rupture Status: A Systematic Review and Meta-analysis." Neurosurgical Review, vol. 47, no. 1, 2024, p. 845, https://doi.org/10.1007/s10143-024-03086-5.