主管:中华人民共和国司法部
主办:司法鉴定科学研究院
ISSN 1671-2072  CN 31-1863/N

中国司法鉴定 ›› 2023 ›› Issue (5): 31-38.DOI: 10.3969/j.issn.1671-2072.2023.05.004

• 鉴定综述 • 上一篇    下一篇

人工智能技术在法医学骨龄和牙龄评估中的研究前沿及展望

周慧明1,2,李丹阳1,3,万雷1,等   

  1. 1. 司法鉴定科学研究院 上海市法医学重点实验室 上海市司法鉴定专业技术服务平台 司法部司法鉴定重点实验室,上海 200063; 2.山西医科大学 法医学院,山西 晋中 030600; 3. 山西医科大学 医学科学院,山西 太原 030000
  • 收稿日期:2022-12-31 出版日期:2023-09-15 发布日期:2023-09-16
  • 通讯作者: 王亚辉(1982—),男,副研究员,副主任法医师,博士,主要从事法医临床学、法医人类学研究和司法鉴定。E-mail:wangyh@ssfjd.cn
  • 作者简介:周慧明(1998—),女,硕士研究生,主要从事法医临床学、法医人类学研究。E-mail:huimingzhou1216@163.com
  • 基金资助:
    "十四五“国家重点研发项目(2022YFC3302000);国家自然科学基金资助项目(81571859,81102305);上海市2019年度”科技创新行动计划“技术标准项目指南(19DZ2201300);上海市法医学重点实验室资助项目(21DZ2270800);上海市司法鉴定专业技术服务平台资助项目。

Research Frontiers and Prospects of Artificial Intelligence Technology in Forensic Bone Age and Dental Age Assessment

ZHOU Huiming1,2, LI Danyang1,3, WAN Lei1, et al   

  1. 1. Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Key Laboratory of Forensic Science, Ministry of Justice, Academy of Forensic Science, Shanghai 200063, China; 2. School of Forensic Medicine,Shanxi Medical University, Jinzhong 030600, China; 3. Academy of Medical Sciences, Shanxi Medical University, Taiyuan 030000, China
  • Received:2022-12-31 Published:2023-09-15 Online:2023-09-16

摘要: 人工智能技术已呈现出深度学习、跨界融合、人机协同、群智开放等新特征,其成果惠及法医学各分支学科,为解决传统法医学问题提供了新思路和新方法。新一代人工智能相关学科发展、技术创新、软硬件升级等方面的整体推进正在引发链式突破,推动了法医学活体年龄研究与人工智能技术深度融合。人体骨骼、牙齿的医学图像显示黑、白、灰不同阶度的变化,基于人工智能技术在图像识别中的优势,将其与法医学活体年龄评估相结合,通过图像预处理、图像分割、特征提取、信息处理实现图像信息的深度挖掘,自动识别并精准推算个体骨骼年龄或牙齿年龄,为实现骨龄、牙龄的高精度、高准确率智能评估提供了新契机,是实现人工智能年龄评估系统的可靠途径之一。基于此,针对支持向量机、深度学习等人工智能技术在法医学骨龄和牙龄评估中的研究前沿及展望进行综述。

关键词: 法医人类学, 骨骼年龄评估, 牙齿年龄评估, 人工智能, 支持向量机, 深度学习

Abstract: Artificial Intelligence technology has showed new features such as deep learning, cross-border integration, man-machine collaboration and swarm intelligence openness. The achievements in artificial intelligence-assisted research benefit all branches of forensic medicine, providing new ideas and methods to solve the problems of traditional forensic medicine. With the development of the new generation of artificial intelligence-related disciplines, technological innovation, software and hardware upgrading and other overall progress, chain breakthroughs are being triggered, promoting the deep integration of forensic living age research and artificial intelligence technology. The medical images of human bones and teeth show the changes of different degrees of black, white and gray. The advantages of artificial intelligence technology in image recognition are being applied in the researches of living age assessment by forensic scientists. Through image pre-processing, bone block segmentation, feature extraction and information processing, we can realize the deep mining of bone image information, automatic recognition and accurate assessment of individual age, which provides a new opportunity to achieve highly precisive intelligent evaluation of bone age and tooth age. It is one of the reliable ways to construct the artificial intelligent bone age evaluation system. Therefore, this paper focuses on the research frontiers and prospects of artificial intelligence technologies such as support vector machine and deep learning in forensic age and dental age assessment.

Key words: forensic anthropology, bone age assessment, dental age assessment, artificial intelligence, support vector machine, deep learning

中图分类号: