Performance of a Large Language Model on Practice Questions for the Neonatal Board Examination
- PMID: 37459084
- PMCID: PMC10352922
- DOI: 10.1001/jamapediatrics.2023.2373
Performance of a Large Language Model on Practice Questions for the Neonatal Board Examination
Plain language summary
This Diagnostic/Prognostic Study evaluates the performance of a large language model in generating answers to practice questions for the neonatal-perinatal board examination.
Conflict of interest statement
References
-
- Schulman J, Zoph B, Kim C, et al. . ChatGPT: optimizing language models for dialogue. OpenAI . Published November 30, 2022. Accessed February 28, 2023. https://chat.openai.com
-
- Morton S, Ehret D, Ghanta S, Sajti E, Walsh B. In: Brodsky D, Martin CR, eds. Neonatology Review: Q & A. 3rd ed. Lulu; 2015.
-
- Singhal K, Azizi S, Tu T, et al. . Large language models encode clinical knowledge. arXiv. Published online December 26, 2022. https://arxiv.org/abs/2212.13138
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
