一个人工智能解决方案,用于自动化牙科检查和绘制图表
M A Moufti1, M Abu Talib2, S Al Mokdad2
1College of Dental Medicine, University of Sharjah, Sharjah, United Arab Emirates; Research Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
International dental journal
|June 15, 2025
概括
这项研究引入了一个人工智能驱动的系统,用于使用口腔内视频进行实时牙科图谱,提高牙识别的准确性和效率. 这种新的方法旨在降低成本并提高患者的护理.
科学领域:
- 人工智能在牙科中的应用
- 计算机视觉用于医疗应用.
- 为医疗保健提供深度学习.
背景情况:
- 手动的牙科图表是耗时且容易出错的.
- 现有的牙科图表人工智能解决方案通常依赖于放射图,限制它们在查中的使用.
- 通过口腔内视频自动化牙科图谱提供了一个有希望的替代方案.
研究的目的:
- 开发基于深度学习的系统,使用口腔内视频实时进行牙科图谱.
- 建立牙识别作为这个自动化图表系统的初始阶段.
- 评估使用卷积神经网络 (CNN) 为此任务的可行性.
主要方法:
- 记录和注释了100个口内视频.
- 使用CNN开发了一个YOLOv7x物体检测模型.
- 模型的性能被用0.5.5的交叉点对欧盟 (IoU) 的平均平均精度 (mAP) 来评估.
主要成果:
- YOLOv7x模型在0.5 IU时实现了78.8%的mAP.
- 牙识别的精度和回忆率分别为72.5%和77.9%.
- 该系统通过口内视频数据证明了有效的牙识别.
结论:
- 这项研究首次使用实时口腔内视频用于自动牙科图谱.
- 开发的AI方法显示了减少临床时间和成本的潜力.
- 这项技术可以改善患者的治疗结果和获得牙科护理的机会.
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