在解决骨科板样式问题上ChatGPT的性能:对ChatGPT 3.5和ChatGPT 4进行比较分析
Sung Eun Kim1, Ji Han Lee1, Byung Sun Choi1
1Department of Orthopedic Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Clinics in orthopedic surgery
|August 2, 2024
概括
像ChatGPT这样的大型语言模型在医学教育中显示出希望. 在骨科板式问题上,ChatGPT 4显著优于ChatGPT 3.5,但由于答案不一致,建议谨慎.
科学领域:
- 人工智能在医学中的应用
- 医疗教育 技术 技术 医学教育
- 大型语言模型
背景情况:
- 评估AI和LLM在医疗信息提供中的准确性至关重要.
- 这项研究评估了ChatGPT 3.5和4在骨科板式问题上的表现.
研究的目的:
- 评估ChatGPT 3.5和4在回答骨科板式问题的准确性.
- 将ChatGPT 4与ChatGPT 3.5.5的性能进行比较.
主要方法:
- 使用了160个纯文本的骨科板式问题.
- 问题来源于首尔国立大学医院,并对韩国骨科协会考试进行格式化.
- 对ChatGPT 3.5和4的准确度和答案不一致率进行了分析.
主要成果:
- 聊天GPT 4实现了60.0%的准确性,明显高于聊天GPT 3.5的37.5% (p < 0.001).
- 在大多数子类别中,ChatGPT 4的表现优于ChatGPT 3.5,不包括与瘤有关的问题.
- 对ChatGPT 4的回答不一致率为9.4%,对ChatGPT 3.5.5的回答不一致率为47.5%.
结论:
- 聊天GPT 4展示了通过骨科板式考试的能力,超过了聊天GPT 3.5.5.
- 潜在的临床和教育应用需要仔细考虑,因为响应不一致和偶尔的不准确性.
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