在CBCT图像上对前牙中膜骨缺陷的全自动AI诊断
Runzhi Guo1, Ning Ma2, Tianlei Shi3
1Department of Orthodontics, Peking University School and Hospital of Stomatology, 22 Zhongguancun Avenue South, Haidian District, Beijing, 100081, P.R. China.
Clinical oral investigations
|January 22, 2026
概括
一个新的人工智能 (AI) 系统使用圆束计算断层扫描 (CBCT) 扫描精确诊断前牙中膜骨缺陷 (ABD). 这种人工智能工具通过减少人工干预来帮助正牙诊断和治疗规划.
科学领域:
- 牙科 牙科是指牙科的专业.
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 精确诊断膜骨缺陷 (ABDs) 对于有效的正义牙科治疗计划和骨增强手术至关重要.
- 圆束计算机断层扫描 (CBCT) 是评估牙和骨结构的关键成像方式.
- 自动化ABD的诊断过程可以提高效率和准确性.
研究的目的:
- 开发和评估一个全自动的人工智能 (AI) 系统,用于诊断前牙中膜骨缺陷 (ABD).
- 评估系统在从3D CBCT数据中构建二维图像和分类不同类型的 ABD 的性能.
- 确定人工智能系统在协助正牙诊断和决策方面的潜力.
主要方法:
- 开发了一个两阶段的AI系统:前牙根/骨形态和多视角ABD分类的2D图像构造 (斜切和冠状切片).
- 分类阶段使用分层多尺度特征融合网络 (HiFuse) 来识别正常的骨,脱落和窗体化.
- 该模型在两个临床中心的300张CBCT扫描 (3600张前牙) 上接受了训练.
主要成果:
- 人工智能系统实现了精确的二维图像构建,高SSIM为0.803.
- 与ConvNeXt和Swin变压器相比,HiFuse模型表现出更高的性能,达到0.936准确度,0.932F1得分,0.936回忆率和0.928精度.
- 该系统有效地分类了ABD类型,并准确地定位了骨缺陷.
结论:
- 开发的AI系统在从CBCT图像中诊断前牙的ABD方面表现出色.
- 该系统具有显著的潜力,可以通过自动化缺陷识别来帮助正牙诊断和治疗规划.
- 这种人工智能工具可以减少手工劳动,并提高牙科专业人员的整体诊断工作流程.
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