Screening/diagnosis of pediatric endocrine disorders through the artificial intelligence model in different language settings

Lingwen Ying, Sichen Li,Chunyang Chen, Fan Yang,Xin Li,Yao Chen, Yu Ding,Guoying Chang,Juan Li,Xiumin Wang

European Journal of Pediatrics(2024)

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摘要
This study is aimed at examining the impact of ChatGPT on pediatric endocrine and metabolic conditions, particularly in the areas of screening and diagnosis, in both Chinese and English modes. A 40-question questionnaire covering the four most common pediatric endocrine and metabolic conditions was posed to ChatGPT in both Chinese and English three times each. Six pediatric endocrinologists evaluated the responses. ChatGPT performed better when responding to questions in English, with an unreliable rate of 7.5
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关键词
ChatGPT,Artificial intelligence,Pediatric endocrine and metabolism,Physician and patients,Language mode,Screening and diagnosis
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