聊天机器人可以取代专家吗? 人工智能模型的诊断准确度在分类受冲击的下第三上
Müfide Bengü Erden1, Mehmet Gümüş Kanmaz2, Genta Agani Sabah3
1Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Izmir Tinaztepe University, Izmir, Turkey. benguerden@gmail.com.
Odontology
|September 25, 2025
概括
人工智能聊天机器人显示出解释牙X射线的潜力,但尚未达到对受影响的第三牙进行分类的专家水平. 聊天GPT-4o表现最好,尽管没有AI模型实现了一致的诊断准确性.
科学领域:
- 牙科 牙科是指牙科的专业.
- 人工智能的人工智能
- 放射学 放射学是一门学科.
背景情况:
- 人工智能聊天机器人越来越多地用于牙科.
- 它们解释全景放射图和分类受影响下第三的能力未被评估.
研究的目的:
- 评估四个领先的人工智能聊天机器人的诊断性能,使用全景放射图分类受影响的下第三牙.
- 将ChatGPT-4o,Gemini 2.5 Pro,Claude Sonnet 4.0和Copilot (GPT-4) 的准确性与专家评估进行比较.
主要方法:
- 从全景放射图分析了93个受冲击的下第三.
- 四个人工智能聊天机器人使用Pell和Gregory,Winter和Rood和Shehab系统对牙进行分类.
- 三位牙科专家使用全球质量评分 (GQS) 评价聊天机器人的响应.
主要成果:
- 聊天机器人之间的GQS评分没有显著差异,ChatGPT-4o得分最高 (2.41 ± 1.03).
- 在冬季分类中,ChatGPT-4o表现优越 (κ = 0.171).
- 双子座2.5 Pro在根部发现中表现出中等一致性;副飞行员 (GPT-4) 在道参数中显示出一致性. 没有聊天机器人达成可接受的佩尔和格雷戈里分类协议.
结论:
- 人工智能聊天机器人在全景图像解释方面表现有前途,但目前对于第三点分类来说并不理想.
- 在测试的模型中,ChatGPT-4o表现最好,但没有一个模型达到专家级准确度.
- 多式联络人工智能和大型标记数据集的进一步发展对于临床整合至关重要.
相关概念视频
02:16Stereotype Content Model
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence categorization, a person will feel...
01:16Non-equilibrium in the Cell
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...