AI-generated and doctors' answers to health-related questions.

IF 1.2 Q2 MEDICINE, GENERAL & INTERNAL
Tidsskrift for Den Norske Laegeforening Pub Date : 2025-02-10 Print Date: 2025-02-11 DOI:10.4045/tidsskr.24.0402
Tiril Egset Mork, Håkon Garnes Mjøs, Harald Giskegjerde Nilsen, Sindre Kjelsrud, Alexander Selvikvåg Lundervold, Arvid Lundervold, Ib Jammer
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引用次数: 0

Abstract

Background: Several studies have investigated how large language models answer health-related questions. In a study from 2023, responses to health-related questions in English generated by the language model GPT-3.5 were perceived as more empathetic and informative than responses from doctors. We wanted to apply the newer language model GPT-4 in Norwegian to investigate how respondents with a healthcare background rated responses to health-related questions from doctors and those generated by the language model.

Material and method: A total of 192 health-related questions with corresponding answers from doctors were sourced from the website Studenterspør.no. The language model GPT-4 was used to generate a new set of answers to the same questions. Both sets of answers were evaluated by 344 respondents with a background in health care. The respondents, who were blinded to whether the answer was generated by a doctor or the language model, were asked to rate the empathy, quality of information and helpfulness of the answers.

Results: The survey consisted of 344 respondents and 192 questions. The average number of evaluations per answer was 5.7. There was a significant difference between doctors' answers and those generated by GPT-4 in terms of perceived empathy (p < 0.001), quality of information (p < 0.001) and helpfulness (p < 0.001).

Interpretation: The answers generated by GPT-4 were rated as more empathetic, informative and helpful than the answers from doctors. This suggests that AI could serve as an aid to healthcare personnel by drafting good responses to health-related questions.

人工智能生成的和医生对健康相关问题的回答。
背景:几项研究调查了大型语言模型如何回答与健康相关的问题。在2023年的一项研究中,由语言模型GPT-3.5生成的与健康相关的英语问题的回答被认为比医生的回答更具同理心和信息量。我们希望在挪威应用较新的语言模型GPT-4来调查具有医疗保健背景的受访者如何评价医生和语言模型生成的与健康相关的问题的回答。材料和方法:共192个健康相关问题,并由医生给出相应答案。语言模型GPT-4被用来为相同的问题生成一组新的答案。这两套答案都由344名具有医疗保健背景的受访者进行评估。受访者不知道答案是由医生还是语言模型生成的,他们被要求对答案的同理心、信息质量和有用性进行评分。结果:共有344名受访者,192个问题。每个答案的平均评价次数为5.7次。医生的回答与GPT-4的回答在共情感知(p < 0.001)、信息质量(p < 0.001)和乐于助人(p < 0.001)方面存在显著差异。解释:GPT-4产生的答案被认为比医生的答案更有同理心、更有信息量和更有帮助。这表明,人工智能可以通过起草与健康有关的问题的良好回答来帮助医护人员。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Tidsskrift for Den Norske Laegeforening
Tidsskrift for Den Norske Laegeforening MEDICINE, GENERAL & INTERNAL-
CiteScore
0.60
自引率
18.20%
发文量
593
审稿时长
28 weeks
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