人工智能的二进制决定将第三关节发育分类在14,16和18岁的法定年龄门周围
Ademir Franco1,2, Jared Murray3, Dennis Heng3
1Division of Forensic Dentistry, Faculdade São Leopoldo Mandic, Campinas, Brazil.
Scientific reports
|February 27, 2024
概括
人工智能精确估计法定年龄使用牙科X射线图的第三部发育. 这种人工智能工具有助于将个人分类为低于和高于临界年龄门的个人,用于法律目的.
科学领域:
- 法医人类学 法医人类学
- 放射学 放射学是一门学科.
- 人工智能在医学中的应用
背景情况:
- 牙科的年龄估计,特别是使用第三牙发育,在无人陪伴的未成年人的医疗法律环境中至关重要.
- 目前的方法依赖于运营商,可能导致围绕关键法定年龄门 (14,16,18岁) 的二元决策.
研究的目的:
- 评估人工智能 (AI) 在将个人分类在法定年龄门以下和以上 (14,16,18岁) 的表现,使用第三部发育.
- 评估AI在法医和法律应用中的牙科年龄估计的准确性.
主要方法:
- 利用了11640张6岁至22.9岁的个人全景放射图的数据集.
- 采用了一个卷积神经网络 (CNN) 模型,DenseNet121,用于图像分析的转移学习.
- 使用计算机图像注释和半自动轮,专注于下左第三 (T38).
主要成果:
- 达到高的曲线下面面积 (AUC) 值,范围从0.83到0.94,用于对男性和女性的不同年龄门 (14,16,18岁) 的个人进行分类.
- 具体性率始终保持在0.80和0.92.2之间.
- 证明了AI基于第三子发育的准确分类能力.
结论:
- 人工智能在使用第三关节发育来分类法定年龄门以下和以上的个人方面表现出高准确度.
- 人工智能驱动的牙年龄估计提供了一个可靠的,客观的替代操作员依赖的方法.
- 这项技术具有显著的潜力,可以提高医疗法律年龄评估的准确性和一致性.
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