ChatGPT与DeepSeek在脊髓损伤患者教育中的比较研究:人工智能能“说”脊髓损伤吗?
比较GPT-4o和DeepSeek-V3在脊髓损伤患者教育问答中的表现,包含288条由三位医师评分的响应数据。

基本信息
资源简介
ChatGPT与DeepSeek在脊髓损伤患者教育中的比较研究:人工智能能“说”脊髓损伤吗?
【数据集背景】
本数据集源站标题为《A comparative study of ChatGPT and DeepSeek in spinal cord injury patient education: Can artificial intelligence “speak” spinal cord injury?》。配套论文《A comparative study of ChatGPT and DeepSeek in spinal cord injury patient education: Can artificial intelligence “speak” spinal cord injury?》发表于 The Journal of Spinal Cord Medicine(2025),DOI:10.1080/10790268.2025.2554013。源站首次发布:2025-09-12。
【数据内容】
源站原始描述:Large language models (LLMs), such as ChatGPT and DeepSeek, are increasingly used by patients for medical information about their health condition. While several studies have explored ChatGPT’s performance in spinal cord injury (SCI)-related queries, no direct comparison between GPT-4o and DeepSeek-V3 has been conducted in this context. The five most-searched SCI-related topics comprising of forty-eight questions were generated based on top Google Trends search terms. Responses were generated us…
【数据结构与技术规格】
文件数 3 个,合计 881.78 KB。yscm_a_2554013_sm0341.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,97.14 KB。yscm_a_2554013_sm0340.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,32.00 KB。yscm_a_2554013_sm0339.xls:application/vnd.ms-excel,752.64 KB。数据集 DOI:10.6084/m9.figshare.30113011.v1。
【主题与分类】
源站学科分类:Genetics、Molecular Biology、Neuroscience、Sociology、Biological Sciences not elsewhere classified。主题标签:spinal cord injury、artificial intelligence、large language models、patient education。
【适用方向】
文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面:https://tandf.figshare.com/articles/dataset/A_comparative_study_of_ChatGPT_and_DeepSeek_in_spinal_cord_injury_patient_education_Can_artificial_intelligence_speak_spinal_cord_injury_/30113011
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:A comparative study of ChatGPT and DeepSeek in spinal cord injury patient education: Can artificial intelligence “speak” spinal cord injury?. Taylor & Francis. Lau, Jia Yi Sandra; Sng, Gui Ren Gerald; Cao, Ruoxi; Chen, Jing
【使用注意】
· 源站最后修改于 2026-04-27,引用时请注意版本时效。
下载信息
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使用方式
数据集获取(Figshare)
- 源站标题:A comparative study of ChatGPT and DeepSeek in spinal cord injury patient education: Can artificial intelligence “speak” spinal cord injury?
- DOI:10.6084/m9.figshare.30113011.v1
- 发布日期:2025-09-12
- 文件数:3 个
- 文件总体积:881.78 KB
- 源站页面:https://tandf.figshare.com/articles/dataset/A_comparative_study_of_ChatGPT_and_DeepSeek_in_spinal_cord_injury_patient_education_Can_artificial_intelligence_speak_spinal_cord_injury_/30113011
命令行下载
curl -L -o "yscm_a_2554013_sm0341.xlsx" "https://ndownloader.figshare.com/files/57917281"
curl -L -o "yscm_a_2554013_sm0340.xlsx" "https://ndownloader.figshare.com/files/57917284"
curl -L -o "yscm_a_2554013_sm0339.xls" "https://ndownloader.figshare.com/files/57917287"
文件清单
yscm_a_2554013_sm0341.xlsx(97.14 KB)yscm_a_2554013_sm0340.xlsx(32.00 KB)yscm_a_2554013_sm0339.xls(752.64 KB)
文件总体积 881.78 KB(源站 API 实测)。
数据说明
Large language models (LLMs), such as ChatGPT and DeepSeek, are increasingly used by patients for medical information about their health condition. While several studies have explored ChatGPT’s performance in spinal cord injury (SCI)-related queries, no direct comparison between GPT-4o and DeepSeek-V3 has been conducted in this context.
The five most-searched SCI-related topics comprising of forty-eight questions were generated based on top Google Trends search terms. Responses were generated using GPT-4o and DeepSeek-V3, with three outputs per question. A total of two hundred and eighty-eight responses were independently evaluated by three Rehabilitation Physicians using the S.C.O.R.E. framework, which evaluates five domains: Safety, Consensus with Guidelines, Objectivity, Reproducibility, and Explainability on a 5-point Likert scale. Paired t-tests were used to compare model performance.
Both models achieved high ratings for Safety and Consensus with Guidelines. DeepSeek-V3 scored slightly but significantly higher in Objectivity (P = 0.014), Reproducibility (P = 0.007), and Explainability (P While both GPT-4o and DeepSeek-V3 are generally safe and informative tools for SCI patient education, DeepSeek-V3 demonstrated slightly superior performance in delivering consistent, objective, and well-explained responses. LLMs may serve as useful adjuncts in SCI patient education, but ongoing evaluation and clinician oversight remains essential.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.30113011.v1(source: https://tandf.figshare.com/articles/dataset/A_comparative_study_of_ChatGPT_and_DeepSeek_in_spinal_cord_injury_patient_education_Can_artificial_intelligence_speak_spinal_cord_injury_/30113011)。
数据缺失?
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