使用人工智能在横向照片上的自动地标检测:与专家注释相比,诊断准确性更高
Noah Frieder Nordblom1, Felix Kunz2, Angelika Stellzig-Eisenhauer3
1Department of Orthodontics, University Hospital Würzburg, Würzburg, Germany. nordblom_n@ukw.de.
概括
人工智能 (AI) 现在可以在横向照片上自动检测面部地标,准确度达到专家水平. 这种人工智能工具减少了正牙诊断的变化,并与人类专家相比改进了人体测量.
科学领域:
- 矯正牙科 矯正牙科是一種矯正牙科.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 侧面脑图对于正牙诊断和治疗规划至关重要.
- 在这些图像上检测软组织里程碑对面部分析至关重要,但受到人类注释器变化的影响.
- 开发用于地标检测的自动化方法对于提高准确性和一致性至关重要.
研究的目的:
- 训练人工智能 (AI) 算法,用于在横向照片上自动检测地标.
- 创建一个高质量的黄金标准数据集,用于评估地标检测准确度.
- 将AI算法的性能与临床专家进行比较.
主要方法:
- 一个人工智能算法被训练在991张横向照片上,其中有14个软组织的地标标被专家注释.
- 11名专家对56张照片的单独数据集进行了注释,以建立一个黄金标准.
- 人工智能和专家的表现与黄金标准进行了比较,使用人体测量和统计测试.
主要成果:
- 人工智能模型在2.0毫米的值下,在14个地标中的12个地标中实现了超过95%的检测准确度.
- 人工智能预测的变化性和平均辐射误差低于个别专家注释,特别是对于具有高度注释者间分歧的地标.
- 从人工智能预测中获得的人类测量结果显示,与专家推导的测量结果相比,绝对误差较小.
结论:
- 基于人工智能的横向照片上的地标检测提供了与专家注释相当的准确性.
- 人工智能方法提供了更大的一致性,特别是在具有显著的标志性标志的标志性标志.
- 这项技术有可能提高正义牙科诊断和治疗规划的可靠性.
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