APA (7th ed.) Citation

S, Y., EJ, C., S, K., K, P., MS, K., Y, O., & H, R. (2026). Large Language Models' Performances regarding logical observation identifiers names and codes mapping in laboratory medicine: A comparative analysis of ChatGPT-4.0, Gemini, and Perplexity. International journal of medical informatics, 209, 106270. https://doi.org/10.1016/j.ijmedinf.2026.106270

Chicago Style (17th ed.) Citation

S, Yu, Cho EJ, Kim S, Park K, Kim MS, Oh Y, and Ryu H. "Large Language Models' Performances Regarding Logical Observation Identifiers Names and Codes Mapping in Laboratory Medicine: A Comparative Analysis of ChatGPT-4.0, Gemini, and Perplexity." International Journal of Medical Informatics 209 (2026): 106270. https://doi.org/10.1016/j.ijmedinf.2026.106270.

MLA (9th ed.) Citation

S, Yu, et al. "Large Language Models' Performances Regarding Logical Observation Identifiers Names and Codes Mapping in Laboratory Medicine: A Comparative Analysis of ChatGPT-4.0, Gemini, and Perplexity." International Journal of Medical Informatics, vol. 209, 2026, p. 106270, https://doi.org/10.1016/j.ijmedinf.2026.106270.