APA (7th ed.) Citation

Lee, J., Park, S., Jung, J., Hwang, J., Hong, S., Ryu, Y., . . . Oh, S. (2026). A semi-automated natural language processing-based analytical pipeline for identifying structural shifts in MRI safety incidents: An analysis of FDA MAUDE reports (2018–2024). Journal of Analytical Science & Technology, 17(1), 1. https://doi.org/10.1186/s40543-026-00559-8

Chicago Style (17th ed.) Citation

Lee, Jeongin, Seongdong Park, Jiwon Jung, Jinwoo Hwang, Seon-Eui Hong, Yeun-Chul Ryu, Myung Kyun Woo, Kisoo Kim, and Sukhoon Oh. "A Semi-automated Natural Language Processing-based Analytical Pipeline for Identifying Structural Shifts in MRI Safety Incidents: An Analysis of FDA MAUDE Reports (2018–2024)." Journal of Analytical Science & Technology 17, no. 1 (2026): 1. https://doi.org/10.1186/s40543-026-00559-8.

MLA (9th ed.) Citation

Lee, Jeongin, et al. "A Semi-automated Natural Language Processing-based Analytical Pipeline for Identifying Structural Shifts in MRI Safety Incidents: An Analysis of FDA MAUDE Reports (2018–2024)." Journal of Analytical Science & Technology, vol. 17, no. 1, 2026, p. 1, https://doi.org/10.1186/s40543-026-00559-8.