APA (7th ed.) Citation

PL, P., R, K., J, L., E, R., C, H., R, G., . . . J, M. (2026). Improving reliability and accuracy of structured data extraction using a consensus large-language model approach-a use case description in multiple sclerosis. Frontiers in artificial intelligence, 9, 1658575. https://doi.org/10.3389/frai.2026.1658575

Chicago Style (17th ed.) Citation

PL, Poser, Klimas R, Luerweg J, Reuter E, Hanefeld C, Gold R, Salmen A, and Motte J. "Improving Reliability and Accuracy of Structured Data Extraction Using a Consensus Large-language Model Approach-a Use Case Description in Multiple Sclerosis." Frontiers in Artificial Intelligence 9 (2026): 1658575. https://doi.org/10.3389/frai.2026.1658575.

MLA (9th ed.) Citation

PL, Poser, et al. "Improving Reliability and Accuracy of Structured Data Extraction Using a Consensus Large-language Model Approach-a Use Case Description in Multiple Sclerosis." Frontiers in Artificial Intelligence, vol. 9, 2026, p. 1658575, https://doi.org/10.3389/frai.2026.1658575.