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评估聊天GPT-3.5和Claude-2在回答和解释概念医学生理学多选择题的问题
Mayank Agarwal1, Ayan Goswami2, Priyanka Sharma3
1Physiology, All India Institute of Medical Sciences, Raebareli, IND.
Cureus
|November 1, 2023
概括
与ChatGPT-3.5.5.相比,Claude-2在回答和解释医学生理学多选择题 (MCQ) 中表现出卓越的表现. 这项研究强调了克劳德-2号.
科学领域:
- 医学教育 医学教育
- 人工智能在医学中的应用
- 人体生理学 人体生理学
背景情况:
- 像ChatGPT-3.5和Claude-2这样的生成人工智能 (AI) 系统显示出解释复杂医学科学的潜力.
- 以前的研究表明,人工智能有能力解决复杂的生理问题,需要批判性思维.
- 人工智能在回答人类生理学的概念多选题 (MCQ) 的有效性需要进一步验证.
研究的目的:
- 评估和比较ChatGPT-3.5和Claude-2在医学生理学MCQ的回答和解释方面的熟练程度.
- 评估人工智能对复杂生理概念的解释的准确性和清晰性.
主要方法:
- 开发了一套55个MCQ,涵盖10个医学生理学能力.
- 聊天GPT-3.5和克劳德-2被要求回答和解释MCQ.
- 人工智能生成的解释被三位作者在0-3级别上对正确性和完整性进行了评分.
- 统计分析,包括曼·惠特尼U测试和Fleiss kappa,用于比较AI性能.
主要成果:
- 克劳德-2正确回答了40个MCQ,显著超过了ChatGPT-3.5的26个正确答案.
- 克劳德-2生成的解释得到的评分明显高于ChatGPT-3.5.5的评分.
- 观察到高级别之间的可靠性,Fleiss kappa值为克劳德-2的0.804和ChatGPT-3.5.5.的0.818.
结论:
- 克劳德-2在回答和解释医学生理学的概念性MCQ方面比ChatGPT-3.5更熟练.
- 虽然克劳德-2显示出更高的有效性,但从印度通过VPN访问它可能会引起安全考虑.
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