超人性表现在泌尿器科董事会问题上使用可解释的语言模型,并与欧洲泌尿器科协会的指导方针进行了增强
M J Hetz1, N Carl1,2, S Haggenmüller1
1Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg.
概括
一个新的泌尿器科聊天机器人UroBot在回答董事会问题方面表现出比先进的人工智能模型和人类泌尿科医生更好的表现. 这种临床医生可验证的工具提高了医学知识评估的准确性.
科学领域:
- 人工智能在医学中的应用
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 自然语言处理自然语言处理.
背景情况:
- 大型语言模型 (LLM) 具有临床知识,但由于过时的数据和缺乏可解释性而面临限制.
- 临床翻译LLMs受阻于验证其输出方面的挑战.
- 在泌尿病学等医疗领域需要专门的,可验证的AI工具.
研究的目的:
- 开发和评估一个专门用于泌尿病的聊天机器人UroBot.
- 将UroBot的性能与最先进的LLM和人类泌尿科医生进行比较.
- 确保聊天机器人的答案可以通过临床医生验证.
主要方法:
- 在使用OpenAI的GPT-3.5,GPT-4和GPT-4o模型开发UroBot.
- 恢复增强生成的实施和2023年欧洲泌尿病学协会的指导方针.
- 与GPT-3.5,GPT-4,GPT-4o和Uro_Chat进行基准测试,使用200个欧洲泌尿器科委员会问题进行了10次测试.
主要成果:
- 乌罗博特-4o的平均正确答案率 (RoCA) 为88.4%,超过了GPT-4o (77.6%) 的10.8%.
- 乌罗机器人展示了高临床验证性和间接运行协议 (弗莱斯卡帕=0.979).
- 乌罗博特的性能明显超过了报告的泌尿科医生平均性能68.7%.
结论:
- UroBot是一个临床医生可验证和准确的泌尿器科人工智能工具.
- 在回答泌尿器科委员会问题方面,UroBot的表现优于现有的人工智能模型和人类泌尿科医生.
- 该研究为UroBot提供了代码和说明,促进了进一步的开发和应用.
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