Fink, M. A., Bischoff, A., Atsiatorme, E., Kremer, A., Kroschke, J., Moll, M., . . . Schlamp, K. (2026). How green are large language models for radiology report labelling?: Comparing human, rule-based and hybrid workflows. Insights into imaging, 17(1), . https://doi.org/10.1186/s13244-026-02289-2
Citazione stile Chigago Style (17a edizione)Fink, Matthias A., et al. "How Green Are Large Language Models for Radiology Report Labelling?: Comparing Human, Rule-based and Hybrid Workflows." Insights into Imaging 17, no. 1 (2026). https://doi.org/10.1186/s13244-026-02289-2.
Citatione MLA (9a ed.)Fink, Matthias A., et al. "How Green Are Large Language Models for Radiology Report Labelling?: Comparing Human, Rule-based and Hybrid Workflows." Insights into Imaging, vol. 17, no. 1, 2026, https://doi.org/10.1186/s13244-026-02289-2.