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使用基于人工智能的圆束计算机断层扫描图像进行鼻腔隔膜偏差的自动评估:开发和多中心验证验证

Qianglan Zhai¹, Mengjuan Cui¹, Yijiao Fu¹

¹Department of Orthodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics

|October 10, 2025

概括

一个人工智能 (AI) 框架有效地使用圆束计算机断层扫描 (CBCT) 扫描来选鼻腔隔膜偏差 (NSD). 这种人工智能工具提高了牙矯正医生的诊断准确性和效率.

科学领域:

医疗成像医学成像
人工智能的人工智能
矯正牙科矯正牙科是一種矯正牙科.

背景情况:

鼻隔膜偏差 (NSD) 导致鼻子功能受损和面牙异常.
圆束计算机断层扫描 (CBCT) 有助于NSD诊断,但手动解释是耗时的,需要专业知识.

研究的目的:

开发和评估一个自动化的两阶段人工智能 (AI) 框架,用于使用CBCT扫描进行高效和准确的NSD查.
评估不同AI模型在检测和分类NSD方面的表现.

主要方法:

用330个CBCT扫描的数据集来训练一个两阶段的AI框架.
第一个阶段使用YOLOv11对象检测算法来定位鼻腔隔膜.
第二阶段使用卷积神经网络 (ResNet,EfficientNet,MobileNet) 来进行NSD分类.

主要成果:

YOLOv11n在鼻腔隔膜检测方面取得了高性能 (精度为0.996,回忆为1.000).
移动_小显示了强大的分类性能 (AUC 0.817,精度 0.749).
人工智能辅助诊断提高了牙医准确度超过20%,诊断时间减少了53.92%.

结论:

拟议的AI系统能够快速选NSD,诊断的准确性与手动解释相美.
轻量级的人工智能模型可用于临床CBCT分析.
人工智能辅助诊断显著提高了牙医在识别NSD时的准确性和效率.

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