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Zhou YY, Cao YJ, Yang Y, Wang YL, Deng KF, Ma KJ, Chen YJ, Qin ZQ, Zhang JH, Huang P, Zhang J, Chen LQ. Application of Artificial Intelligence Automatic Diatom Identification System in Practical Cases. Fa Yi Xue Za Zhi 2020; 36:239-242. [PMID: 32530174 DOI: 10.12116/j.issn.1004-5619.2020.02.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Indexed: 11/30/2022]
Abstract
Abstract Objective To discuss the application of artificial intelligence automatic diatom identification system in practical cases, to provide reference for quantitative diatom analysis using the system and to validate the deep learning model incorporated into the system. Methods Organs from 10 corpses in water were collected and digested with diatom nitric acid; then the smears were digitally scanned using a digital slide scanner and the diatoms were tested qualitatively and quantitatively by artificial intelligence automatic diatom identification system. Results The area under the curve (AUC) of the receiver operator characteristic (ROC) curve of the deep learning model incorporated into the artificial intelligence automatic diatom identification system, reached 98.22% and the precision of diatom identification reached 92.45%. Conclusion The artificial intelligence automatic diatom identification system is able to automatically identify diatoms, and can be used as an auxiliary tool in diatom testing in practical cases, to provide reference to drowning diagnosis.
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Affiliation(s)
- Y Y Zhou
- Department of Forensic Medicine, Inner Mongolia Medical University, Hohhot 010030, China.,Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Y J Cao
- Department of Forensic Medicine, Nanjing Medical University, Nanjing 210000, China
| | - Y Yang
- Department of Forensic Medicine, Inner Mongolia Medical University, Hohhot 010030, China
| | - Y L Wang
- Department of Forensic Medicine, Inner Mongolia Medical University, Hohhot 010030, China
| | - K F Deng
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - K J Ma
- Shanghai Research Institute of Criminal Science and Technology, Shanghai 200083, China
| | - Y J Chen
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Z Q Qin
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - J H Zhang
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - P Huang
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - J Zhang
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - L Q Chen
- Department of Forensic Medicine, Inner Mongolia Medical University, Hohhot 010030, China
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Meng H, Ma KJ, Dong LM, Li CT, Xiao B, Xu LY, Huang P, Xie JH. Research Progress on Age Estimation Based on DNA Methylation. Fa Yi Xue Za Zhi 2019; 35:537-544. [PMID: 31833286 DOI: 10.12116/j.issn.1004-5619.2019.05.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Indexed: 11/30/2022]
Abstract
Abstract Age estimation is of great significance in the fields of criminal investigation and forensic identification. It can provide the age information of individuals to judicial departments to facilitate the development of judicial work. In recent years, age estimation methods expanded from the morphological level to the molecular biology level. With the rapid development of epigenetics represented by DNA methylation, and the advancement of DNA methylation detection technology together with the detection platform, many age estimation methods based on DNA methylation biomarkers, or using several biological fluids, such as blood, blood stains, saliva, semen stains, etc. are developed. Currently, researches related to age estimation based on DNA methylation are relatively widely carried out. This paper summarizes the researches on age estimation based on DNA methylation, in order to provide references for related studies and forensic applications.
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Affiliation(s)
- H Meng
- Shanghai Key Laboratory of Crime Scene Evidence, Shanghai 200083, China.,Institute of Forensic Science, Shanghai Municipal Public Security Bureau, Shanghai 200083, China.,Department of Forensic Medicine, Fudan University, Shanghai 200032, China
| | - K J Ma
- Shanghai Key Laboratory of Crime Scene Evidence, Shanghai 200083, China.,Institute of Forensic Science, Shanghai Municipal Public Security Bureau, Shanghai 200083, China
| | - L M Dong
- Minhang Branch of Shanghai Municipal Public Security Bureau, Shanghai 201108, China
| | - C T Li
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - B Xiao
- Shanghai Key Laboratory of Crime Scene Evidence, Shanghai 200083, China.,Institute of Forensic Science, Shanghai Municipal Public Security Bureau, Shanghai 200083, China
| | - L Y Xu
- Shanghai Key Laboratory of Crime Scene Evidence, Shanghai 200083, China.,Institute of Forensic Science, Shanghai Municipal Public Security Bureau, Shanghai 200083, China
| | - P Huang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - J H Xie
- Department of Forensic Medicine, Fudan University, Shanghai 200032, China
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