对ChatGPT和ChatGLM性能进行比较评估,以应对有关儿科无皮炎的常见查询
Zhipeng Lin1, Songyi Piao1, Aoxue Wang1
1Department of Dermatology, The Second Hospital of Dalian Medical University, Dalian, China.
Pediatric dermatology
|May 28, 2025
概括
像ChatGPT-4o和ChatGLM-4这样的大型语言模型为儿科亚托皮炎 (AD) 管理提供了可靠和临床适用的答案. 他们的反应与皮肤病专家的反应相似,有助于治疗和护理策略.
科学领域:
- 使用人工智能 (AI) 和大型语言模型 (LLM) 来传播医疗信息.
- 专注于儿科皮肤病学和阿托皮性皮肤炎 (AD) 的管理.
背景情况:
- 亚托皮炎 (AD) 是儿童常见的慢性皮肤疾病,需要改进管理策略.
- 大型语言模型 (LLM),包括ChatGPT和ChatGLM,在生成相关对话响应方面表现有前途.
研究的目的:
- 评估ChatGPT-4 omni (ChatGPT-4o) 和ChatGLM-4在解决儿科AD查询方面的性能.
- 评估在医学背景下LLM产生的反应的可靠性和临床适用性.
主要方法:
- 在AtopicDermatitis.net论坛上发现了来自家长的102个常见问题.
- 在ChatGPT-4o和ChatGLM-4中输入问题以生成答案.
- 由五位高级皮肤科医生对可靠性和临床适用性进行评分.
主要成果:
- 聊天GPT-4o和聊天GLM-4在可靠性和临床适用性方面显示出高分,它们之间没有显著差异.
- 聊天GPT-4o的分数在92.98%至95.97%之间,而聊天GLM-4的分数在82.59%至96.83%之间.
- 皮肤病学家在评分方面显示出显著的一致性 (肯达尔系数>0.40),表明评价中的中等一致性.
结论:
- LLM为儿科AD管理提供了质量相当于皮肤病学教授的响应.
- 法律学士可以有效地协助推儿科AD的治疗,护理和管理策略.
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