人工智能系统用于CBCT中混合牙的自动牙检测和编号
S Ozudogru1, E Gulsen2, T Mahyaddinova2
1Department of Pediatric Dentistry, Faculty of Dentistry, Istanbul Medeniyet University, Istanbul, Turkey.
European journal of paediatric dentistry
|February 26, 2025
概括
人工智能 (AI) 精确地自动化了儿科圆束计算机断层扫描 (CBCT) 中的牙细分. 这个人工智能应用程序简化了混合牙儿童的牙科治疗计划.
科学领域:
- 牙科成像和诊断牙科成像和诊断
- 医疗保健中的人工智能
- 儿科牙科 儿科牙科
背景情况:
- 有效的牙识别和编号对于牙科治疗计划至关重要.
- 传统的方法可能是耗时和劳动密集的.
- 混合牙在牙科分析中提出了独特的挑战.
研究的目的:
- 评估人工智能算法的准确性和有效性,用于自动化牙细分.
- 评估人工智能在儿科圆束计算机断层扫描 (CBCT) 卷中的应用.
- 确定人工智能在处理混合牙科病例中的实用性.
主要方法:
- 使用nnU-Netv2算法进行自动牙细分.
- 将AI模型应用于混合牙的儿科患者的CBCT扫描.
- 根据准确度指标评估细分性能.
主要成果:
- 人工智能模型在细分牙方面表现出高的效率和准确性.
- 自动化细分大大减少了分析所需的时间和精力.
- nnU-Netv2证明能够处理复杂的混合牙.
结论:
- 人工智能,特别是nnU-Netv2,为儿童牙科中自动化牙细分提供了一个强大的工具.
- 人工智能显著提高了混合牙的牙科治疗计划的效率.
- 人工智能模型是牙医的宝贵资产,节省时间并提高规划准确性.
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