产生可信的参考医学研究:对openAI的GPT-4和谷歌的Gemini进行了比较研究
Mahmud Omar1, Saleh Nassar2, Kareem Hijazi3
1The Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY, USA; Maccabi Health Services, Israel.
Computers in biology and medicine
|December 12, 2024
概括
谷歌谷歌谷歌谷歌是什么意思
科学领域:
- 医疗研究中的人工智能
- 科学写作和内容创作
背景情况:
- 在医学研究中越来越多地使用人工智能,需要评估人工智能工具.
- 专注于人工智能产生的医学研究介绍的准确性和可信性.
研究的目的:
- 在生成医学研究介绍时,比较OpenAI的GPT-4和谷歌的Gemini的准确性和可信度.
- 评估五个医学领域的引用精度和可靠性.
主要方法:
- 在五个医学领域对GPT-4和Gemini Ultra进行比较分析.
- 评价引用正确性,准确性,引言长度和未引用的数据.
主要成果:
- 与GPT-4 (54.0%正确率,49.2%准确率) 相比,Gemini表现出更高的参考精度 (77.2%正确率,68.0%准确率).
- 比起双子号,GPT-4产生了更长的介绍,但包含了更多的未经引用的事实.
- 这两种模式都产生了伪造的证据,表明了可靠性的局限性.
结论:
- 双子座在为医学研究介绍生成可信的参考文献方面表现明显更好.
- 这两种AI模型都有局限性,产生了伪造的证据,需要严格的验证.
- 持续的研究对于理解和改进科学写作中的AI应用至关重要.
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