聊天GPT 4.0和Google Gemini在回答儿科放射学基于文本问题的比较准确性
Mohammed Abdul Sami1, Mohammed Abdul Samad2, Keyur Parekh1
1Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, USA.
Cureus
|November 5, 2024
概括
在回答基于文本的儿科放射学问题时,ChatGPT 4.0的准确性高于Google Gemini. 这一发现表明AI.
科学领域:
- 医疗教育中的人工智能
- 放射学人工智能准确性评估评估
背景情况:
- 在放射学中,对文字和图像的准确解释至关重要.
- 人工智能语言模型在医学教育和放射学培训中具有潜在价值.
研究的目的:
- 为了评估ChatGPT 4.0和Google Gemini在回答儿科放射学问题的准确性.
- 为了比较两个领先的人工智能语言模型在特定医疗领域的性能.
主要方法:
- 79个基于文本的儿科放射学问题从"儿科成像:核心审查"中选择.
- 聊天GPT 4.0和谷歌双子座回答了选定的问题.
- 用二进制评分系统评估答案,并进行统计分析,包括千平方测试和相对风险计算.
主要成果:
- 聊天GPT 4.0实现了83.5%的准确性 (66/79),超过了谷歌双子的68.4%的准确性 (54/79) (p=0.0255,RR=1.221).
- 在单个子部分内的模型之间没有观察到统计学上显著的准确性差异 (p值为0.136-1).
结论:
- 与谷歌双子相比,ChatGPT 4.0在基于文本的儿科放射学问题上显示出更高的整体准确性.
- 需要进一步研究更大的数据集和多式联网输入,以充分评估放射学教育中的AI能力.
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