[使用人工智能在紧急情况下大规模移民条件下生活的人的年龄估计的现代方法]
P V Glybochko1, V N Gridin2, M A Dymochka3
1Sechenov First Moscow State Medical University, Moscow, Russia.
Sudebno-meditsinskaia ekspertiza
|December 22, 2025
概括
准确估计活着的个体的年龄对于法医和医疗社会实践至关重要,特别是在紧急情况下. 这项研究强调了先进的放射学,人工智能和数字方法,以可靠地确定年龄和个人身份.
科学领域:
- 法医医学法医学的医学.
- 放射学 放射学是一门学科.
- 人工智能的人工智能
背景情况:
- 全球不稳定和大规模移民增加了在法医和医疗社会背景下对准确年龄估计的需求.
- 传统的年龄确定方法在紧急和移民情况下面临挑战.
研究的目的:
- 为现存个体的年龄确定提出现代方法.
- 评估放射学,形态测量,数学,数字和人工智能方法对年龄估计的有效性.
- 在危急情况下增强个人识别能力.
主要方法:
- 开发和测试使用X射线 (手,甲状腺软骨),X射线 (牙),MRI (手腕骨) 和CT (头骨,膝盖) 的年龄估计模型.
- 应用人工智能 (AI) 算法和神经网络技术.
- 集成数字技术用于自动化专家评估.
主要成果:
- 人工智能和神经网络显著提高了诊断准确性和自动化专家评估.
- 提出的方法在确定年龄方面表现出了很高的有效性.
- 在紧急和移民危机中验证了个人身份识别方法的适用性.
结论:
- 现代放射学和人工智能驱动的方法为活人年龄估计提供了有效的解决方案.
- 这些先进的技术在紧急情况和移民危机期间实际上可以用于个人身份识别.
- 这项研究强调了技术整合在法医实践中的重要性.
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