脑测量追踪:在线平台上比较人工智能和增强型智能
E A Gallardo-Lopez1, Lmya Moreira1, M H Cruz1
1Department of Stomatology, School of Dentistry, University of Sao Paulo, SP, 05508-000, Brazil.
Dento maxillo facial radiology
|May 15, 2025
概括
人工智能脑仪分析显示了基于用户调整的变化,影响了正牙诊断和治疗计划. 建议增强智能集成,以提高临床实践中的准确性和可靠性.
科学领域:
- 牙科 牙科是指牙科的专业.
- 矯正牙科 矯正牙科是一種矯正牙科.
- 人工智能的人工智能
背景情况:
- 脑仪分析对于正牙诊断和治疗规划至关重要.
- 由人工智能驱动的平台提供自动头测量分析,但它们对用户修改的可靠性需要评估.
研究的目的:
- 从RadioCef®,EasyCeph®和WebCeph®平台评估人工智能驱动的头脑测量分析的准确性和可变性.
- 调查检查员修改对AI脑力测量分析结果的影响.
主要方法:
- 在三个平台上使用人工智能分析了70张头脑测量放射图.
- 四名具有不同专业知识的审查员审查并纠正了地标位置.
- 统计分析,包括重复测量ANOVA和ICC,用于评估差异和一致性.
主要成果:
- 跨平台观察到高基准修改率 (>90%),更有经验的考核人员做出了更多的改变.
- 在自动化和半自动化分析之间,在关键的脑角测量角度 (SNA,SNB,ANB,SN-GoGn,FMIA,FMA,IMPA) 中发现了统计学上显著的差异.
- 观察者内部的一致性从差到完美,而观察者内部的一致性从好到优秀.
结论:
- 完全自动化的脑力测量分析显示了受检查员输入影响的变化.
- 这些变异在诊断和治疗规划方面给正牙医带来了挑战.
- 增强智能,将人工智能与人类专业知识相结合,被建议用于可靠的脑力测量分析.
关键词:
人工智能的人工智能头脑测量术 (Cephalometry) 是一种测量头脑的方法.矯正牙科 矯正牙科是一種矯正牙科.放射学 放射学 放射学 放射学半自动的人工智能系统监督机器学习的监督机器学习更多相关视频
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