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人工智能 (AI) 可以告诉我们什么关于鼻膜成型 (NAM)?

Şirin Hati̇poğlu¹, Esra Çifçi Özkan², Fatma Aslı Konca Taşova³

¹Department Chair, Department of Orthodontics, Faculty of Dentistry, İstanbul University-Cerrahpaşa, Org. Abdurrahman Nafiz Gürman Cd. No:22, İstanbul, 34098, Türkiye. sirin.hatipoglu@iuc.edu.tr.

BMC oral health

|October 17, 2025

概括

像ChatGPT-4,Gemini和Copilot这样的人工智能 (AI) 语言模型对鼻膜成型 (NAM) 信息的准确性有所不同. 准确性因医疗学科而异,人工智能性能在整体上没有统计学意义,但显示了特定领域的变化.

科学领域:

医疗信息学医疗信息学
医疗保健中的人工智能
裂口唇和 palatus 治疗治疗治疗治疗

背景情况:

鼻膜成型 (NAM) 是患有口唇裂的婴儿手术前的关键治疗方法.
人工智能 (AI) 的日益使用需要评估其在提供医疗信息方面的可靠性.
评估AI关于NAM的准确性,可靠性和可理解性对于患者和临床医生的信任至关重要.

研究的目的:

批判性地评估由领先的AI语言模型提供的关于鼻膜成型 (NAM) 的信息的准确性,可靠性和可理解性.
为了比较ChatGPT-4,Gemini和Copilot在响应有关NAM的查询时的性能.
确定人工智能生成的医疗信息可能或多或少准确的特定领域.

主要方法:

对来自ChatGPT-4,Gemini和Copilot的响应进行了横截面内容分析.
对每个AI模型提出了与NAM相关的11个领域的129个问题.
统计分析,包括皮尔森千平方和费舍尔的精确测试,被用来比较AI的反应.

主要成果:

在人工智能模型之间没有发现总体统计学上显著的响应精度差异 (p > 0.05).
在"软组织"领域出现了显著差异,ChatGPT-4提供了"客观真实"信息 (p = 0.013).
人工智能模型在"知识/信息"领域显示出显著差异,Gemini主要提供"错误"答案,ChatGPT-4/Copilot提供"精选事实".

结论:

人工智能语言模型在传递医疗信息时的准确性,特别是关于鼻膜成型的准确性,根据特定的医疗主题而异.
虽然整体准确性可能没有显著差异,但特定领域的性能突出显示了人工智能生成的医疗内容的潜在弱点.
需要进一步的研究来完善人工智能模型,以实现一致可靠的医疗信息传播.

关键词:

人工智能的人工智能是人工智能.聊天GPT 聊天在GPT 聊天副驾驶员是我们的副驾驶员.双子座是一个双子座.鼻腔膜成型鼻膜成型

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