Cite
Multimodal learning system integrating electronic medical records and hysteroscopic images for reproductive outcome prediction and risk stratification of endometrial injury: a multicenter diagnostic study.
MLA
Li, Bohan, et al. “Multimodal Learning System Integrating Electronic Medical Records and Hysteroscopic Images for Reproductive Outcome Prediction and Risk Stratification of Endometrial Injury: A Multicenter Diagnostic Study.” International Journal of Surgery (London, England), vol. 110, no. 6, June 2024, pp. 3237–48. EBSCOhost, https://doi.org/10.1097/JS9.0000000000001241.
APA
Li, B., Chen, H., Lin, X., & Duan, H. (2024). Multimodal learning system integrating electronic medical records and hysteroscopic images for reproductive outcome prediction and risk stratification of endometrial injury: a multicenter diagnostic study. International Journal of Surgery (London, England), 110(6), 3237–3248. https://doi.org/10.1097/JS9.0000000000001241
Chicago
Li, Bohan, Hui Chen, Xiaona Lin, and Hua Duan. 2024. “Multimodal Learning System Integrating Electronic Medical Records and Hysteroscopic Images for Reproductive Outcome Prediction and Risk Stratification of Endometrial Injury: A Multicenter Diagnostic Study.” International Journal of Surgery (London, England) 110 (6): 3237–48. doi:10.1097/JS9.0000000000001241.