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聊天GPT在科测试问题上的表现
Jing Miao1, Charat Thongprayoon, Oscar A Garcia Valencia
1Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, Minnesota.
Clinical journal of the American Society of Nephrology : CJASN
|October 18, 2023
概括
在科测试问题上,ChatGPT的准确性和可重复性有限,GPT-4得分为74%,GPT-3.5得分为51%. 各个子领域的表现各不相同,表明医疗教育人工智能需要改进的领域.
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
- 腎病學 診斷 診斷 腎病學
背景情况:
- 一个先进的对话性AI ChatGPT 已经在一般医疗检查中表现出熟练.
- 然而,它在科等专业领域的表现仍然在很大程度上未被评估.
- 这项研究调查了ChatGPT在回答脏病学特定问题的能力.
研究的目的:
- 评估ChatGPT (GPT-3.5和GPT-4) 在回答科测试问题的准确性和一致性.
- 为了确定ChatGPT的表现更强或更弱的特定脏学子领域.
- 为了比较ChatGPT的表现与脏病学考试者的既定基准.
主要方法:
- 使用了来自科自我评估计划 (NephSAP) 和自我评估计划 (KSAP) 的多选项,单个答案问题.
- 有视觉组成部分的排除问题.
- 使用GPT-3.5和GPT-4两次管理每个问题集,以评估准确度和一致率.
主要成果:
- GPT-4的准确率达到了74%,远高于GPT-3.5的51%,但低于脏病学受试者77%的平均水平.
- 总体一致率为78%,正确答案显示的一致率 (84%) 比不正确答案 (73%) 高.
- 精度在电解质/酸性疾病,淋巴细胞疾病和结石/骨疾病中最低.
结论:
- 聊天GPT在脏病学问题的准确性和可重复性方面表现出明显的局限性.
- 在不同脏学子专业中,表现有所不同.
- 当前的人工智能模型需要进一步开发,以可靠地协助科教育和评估.
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