Performance evaluation of large language models for the national nursing examination in Japan

ChatGPT-4 and Microsoft Copilot may perform better than Chat GPT-3.5, and LLMs could incorrectly answer questions about laws and demographic data specific to a particular country.

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Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251346571
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65

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article

Performance evaluation of large language models for the national nursing examination in Japan

Kengo Hirayama, Tomoki Kuribara, Kenji Hirata
1 citations
Digital Health
Artificial Intelligence in Healthcare and Education
0.65
article

Performance evaluation of large language models for the national nursing examination in Japan

Kengo Hirayama, Tomoki Kuribara, Kenji Hirata
article en
1 citations

Abstract

ChatGPT-4 and Microsoft Copilot may perform better than Chat GPT-3.5, and LLMs could incorrectly answer questions about laws and demographic data specific to a particular country.

Digital HealthVol. 11
Sapporo City University (JP), Hokkaido University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 25%
Artificial Intelligence in Healthcare and Education
0.65
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