大型语言模型在关于牙和内牙健康的患者查询中的全面性
Qian Zhang1, Zhengyu Wu1, Jinlin Song1
1College of Stomatology, Chongqing Medical University, Chongqing, China; Chongqing Key Laboratory for Oral Diseases and Biomedical Sciences, Chongqing, China; Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Chongqing, China.
International dental journal
|August 15, 2024
概括
像ChatGPT-4这样的大型语言模型 (LLM) 在牙科健康问题上提供了更全面的答案,其用英语的答案比用中文的答案更全面. 虽然一般来说,对于常识问题来说更好,但它们的局限性需要仔细考虑自我诊断.
科学领域:
- 口腔卫生保健和人工智能的人工智能
- 自然语言处理在医学中的应用.
背景情况:
- 越来越多的人对使用大型语言模型 (LLM) 进行自我诊断越来越感兴趣.
- 需要评估LLM在牙科等特定医疗领域的表现.
研究的目的:
- 评估ChatGPT-3.5和ChatGPT-4对于牙和牙周健康查询的全面性.
- 为了比较英语和中文语言和查询类型 (常识与专家) 的性能.
主要方法:
- 策划了33个真实生活中的牙和牙周内科医疗保健问题.
- 在英语和中文中向ChatGPT-3.5和ChatGPT-4提出了问题.
- 三位专家用五分利克特等级评价了答案.
主要成果:
- 在英语中,LLM的成绩明显更好 (平均成绩在英语中更好). 4.53) 比中国人 (平均) 更多. 3.95) 的情况.
- 常识问题 (一般情况下) 4.46) 的分数高于专家问题 (平均分数). 4.0.2) 的情况.
- 聊天GPT-4 (平均时间 4.45) 的表现优于ChatGPT-3.5 (平均水平). 4.0.3) 的情况.
结论:
- 对于牙健康问题,ChatGPT-4提供了比ChatGPT-3.5更全面的答案.
- 在英语和常识问题上表现优越.
- 这些差异和不准确性凸显出需要进一步评估口腔卫生保健自我诊断中的LLM局限性.
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