从全景牙图像预测牙提取的洞察力:人工智能与牙医对比
Ila Motmaen1, Kunpeng Xie2,3, Leon Schönbrunn2,3
1Department of Oral and Maxillofacial Surgery, University Hospital Knappschaftskrankenhaus Bochum, 44892, Bochum, Germany.
Clinical oral investigations
|June 17, 2024
概括
人工智能 (AI) 模型在识别牙以从X射线图像中提取牙方面明显优于牙医. 这种人工智能决策支持工具可以提高牙科手术的准确性并减少牙科手术中的错误.
科学领域:
- 牙科放射学 牙科放射学
- 人工智能在医学中的应用
- 机器学习用于医学诊断
背景情况:
- 拔牙的决定依赖于临床,放射学和患者的因素,但可能是复杂的.
- 放射分析带来视觉和认知方面的挑战,可能导致不正确的提取指示.
- 人工智能 (AI) 提供了作为牙取出能力评估的决策支持工具的潜力.
研究的目的:
- 开发和评估一种人工智能模型,使用全景放射图来将牙分类为值得提取或可保存的牙.
- 将人工智能模型的诊断性能与牙医的诊断性能进行比较.
主要方法:
- 一个ResNet50网络在1,184张全景放射图 (PAN) 的26,956张牙图像上受过训练.
- 牙被削减了不同的边缘,并为训练和测试做了注释.
- 人工智能模型的性能与牙医在测试数据集上进行了评估,使用CAMERAS可视化解释性.
主要成果:
- 最好的AI模型在区分可保存牙方面实现了0.901的ROC-AUC,超过了牙医0.797.7的平均ROC-AUC.
- 人工智能模型的PR-AUC为0.749,而牙医则为0.589,抽取率为19.1%.
- 人工智能性能随着牙图像的上下文信息增加而得到改善.
结论:
- 人工智能模型在仅从X射线图像中预测牙提取方面表现优于牙医.
- 人工智能可以作为一种有价值的工具来监测有风险的牙,并尽量减少提取指示错误.
- 将AI整合到牙科诊断中可以提高决策准确性和患者护理.
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