谁知道最好的解剖学? 对ChatGPT-4o,DeepSeek,Gemini和Claude进行比较研究
1Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Necmettin Erbakan University, Konya, Turkey.
概括
聊天GPT-4o在回答土耳其牙科专业招生考试解剖问题方面取得了最高的准确性,超过了其他领先的AI模型. 这表明它在增强牙科教育资源方面有很大的潜力.
科学领域:
- 教育中的人工智能
- 医疗教育 技术 技术 医学教育
- 牙科解剖学 牙科解剖学
背景情况:
- 大型语言模型 (LLM) 越来越多地被评估为教育应用.
- 评估LLM在专业医学考试中的表现对于理解其实用性至关重要.
- 牙科教育需要精确的解剖学知识,特别是在头部和部地区.
研究的目的:
- 为了比较四个高级LLM (ChatGPT-4o,DeepSeek-v3,Gemini 2.0,Claude 3.7 Sonnet) 在土耳其牙科专业招生考试 (DUS) 解剖学问题上的表现.
- 在高风险的牙科检查环境中评估LLM准确性,响应时间和答案长度.
- 为了确定最适合的LLM支持牙科解剖学学习.
主要方法:
- 从DUS考试 (2012-2021) 中分析了74个多选择解剖学问题.
- 对LLM答案与官方答案的评估,以确保准确性.
- 对每个LLM的响应时间和答案词数的测量.
- 使用Kruskal-Wallis和Cochran的Q测试进行统计比较.
主要成果:
- 聊天GPT-4o实现了最高的准确性 (98.6%),明显优于其他模型 (89.2%).
- 双子座2.0提供了最快的响应 (平均4.47秒),而DeepSeek-v3产生了最短的答案.
- 在准确度,响应时间和答案长度 (p <0.05) 中观察到统计学上显著的差异.
结论:
- 聊天GPT-4o在DUS解剖学问题上表现出卓越的准确性,表明其作为牙科教育中宝贵的工具的潜力.
- 在不同的模型和指标中,LLM的表现有很大的差异,需要仔细选择特定的教育需求.
- 建议进一步研究将LLM纳入结构化牙科学习计划.
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