人工智能的诊断准确性在确定在正牙患者的提取协议:一个系统的审查
Sharvari Mairal1, Vipul Kumar Sharma1, K J Jakshmi1
1Department of Orthodontics and Dentofacial Orthopedics, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Journal of orthodontic science
|January 12, 2026
概括
人工智能 (AI) 模型显示高准确度 (82-94%) 确定最优的牙提取在正统牙科. 结合多种因素的严格培训对于在治疗规划中可靠的AI预测至关重要.
科学领域:
- 矯正牙科 矯正牙科是一種矯正牙科.
- 人工智能的人工智能
- 诊断的准确性 诊断的准确性
背景情况:
- ортодонтика治疗规划通常涉及牙提取的复杂决策.
- 人工智能 (AI) 提供了提高这些决策准确性和效率的潜力.
研究的目的:
- 评估基于人工智能的模型的诊断准确性,以确定牙提取在正统牙科治疗规划中.
- 评估在评估人工智能模型对 ортодонтической提取决策的研究中的方法质量和偏差风险.
主要方法:
- 在多个数据库中进行了系统的文献搜索,直到2024年6月.
- 研究是根据PIRD框架进行选择的,并使用QUADAS-2评估偏差风险,并使用检查清单评估方法质量.
- 十一项研究符合纳入标准.
主要成果:
- 其中的11项研究中有9项表明可接受的方法质量 (AI质量检查清单上高于50%).
- 然而,所有研究都表现出一些偏差风险,特别是在患者选择,AI预测行为和参考标准方面.
- 包括神经网络和分类器在内的AI模型实现了高诊断准确度,从82%到94%不等.
结论:
- 人工智能模型显示出在正牙科中精确确定牙提取协议的巨大潜力.
- 确保可靠性需要严格的AI模型培训,包括全面的因素整合.
- 进一步的研究应侧重于减轻已确定的偏差风险,以提高临床适用性.
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