An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study.

MLA

Serapio, Adrian, 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, p. 254. EBSCOhost, https://doi.org/10.1186/s12880-024-01435-w.

APA

Serapio, A., Chaudhari, G., Savage, C., Lee, Y. J., Vella, M., Sridhar, S., Schroeder, J. L., Liu, J., Yala, A., & Sohn, J. H. (2024). An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study. BMC Medical Imaging, 24(1), 254. https://doi.org/10.1186/s12880-024-01435-w

Chicago

Serapio, Adrian, 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): 254. doi:10.1186/s12880-024-01435-w.