Comparison of ChatGPT and DeepSeek on a Standardized Audiologist Qualification Examination in Chinese: Observational Study

Both GenAI models demonstrated strong professional knowledge and stable reasoning ability, meeting the basic requirements of clinical audiologists and suggesting their potential as supportive tools in audiology education. However, the presence of errors underscores the need for cautious use under educator supervision. Future research should explore their performance in open-ended, real-world clinical scenarios to assess practical applicability and limitations.

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Publication Details

Journal
JMIR Formative Research
Published
2025-11-28
DOI
https://doi.org/10.2196/79534
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Comparison of ChatGPT and DeepSeek on a Standardized Audiologist Qualification Examination in Chinese: Observational Study

Beier Qi, Li Xu, Yuanyuan Wang, Yan Zheng
JMIR Formative Research
Artificial Intelligence in Healthcare and Education
article

Comparison of ChatGPT and DeepSeek on a Standardized Audiologist Qualification Examination in Chinese: Observational Study

Beier Qi, Li Xu, Yuanyuan Wang, Yan Zheng
article en

Abstract

Both GenAI models demonstrated strong professional knowledge and stable reasoning ability, meeting the basic requirements of clinical audiologists and suggesting their potential as supportive tools in audiology education. However, the presence of errors underscores the need for cautious use under educator supervision. Future research should explore their performance in open-ended, real-world clinical scenarios to assess practical applicability and limitations.

JMIR Formative ResearchVol. 9
Beijing Tongren Hospital (CN), Ohio University (US)
Openalex Percentile: Top 69%
Artificial Intelligence in Healthcare and Education
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Comparison of ChatGPT and DeepSeek on a Standardized Audiologist Qualification Examination in Chinese: Observational Study — Beier Qi, Li Xu, et al. · JMIR Formative Research (2025) | TGRS Research Map | TGRS