Cite
An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study
MLA
Adrian Serapio, et al. “An Open-Source Fine-Tuned Large Language Model for Radiological Impression Generation: A Multi-Reader Performance Study.” BMC Medical Imaging, vol. 24, no. 1, Sept. 2024, pp. 1–14. EBSCOhost, https://doi.org/10.1186/s12880-024-01435-w.
APA
Adrian Serapio, Gunvant Chaudhari, Cody Savage, Yoo Jin Lee, Maya Vella, Shravan Sridhar, Jamie Lee Schroeder, Jonathan Liu, Adam Yala, & Jae Ho Sohn. (2024). An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study. BMC Medical Imaging, 24(1), 1–14. https://doi.org/10.1186/s12880-024-01435-w
Chicago
Adrian Serapio, Gunvant Chaudhari, Cody Savage, Yoo Jin Lee, Maya Vella, Shravan Sridhar, Jamie Lee Schroeder, Jonathan Liu, Adam Yala, and Jae Ho Sohn. 2024. “An Open-Source Fine-Tuned Large Language Model for Radiological Impression Generation: A Multi-Reader Performance Study.” BMC Medical Imaging 24 (1): 1–14. doi:10.1186/s12880-024-01435-w.