Big Data and Artificial Intelligence： New Insight into the Estimation of Postmortem Interval.
10.12116/j.issn.1004-5619.2020.01.017
- Author:
Yi ZOU
1
;
Chong ZHUANG
2
;
Qi FANG
3
;
Fei LI
3
Author Information
1. Department of Pathology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou 310000, China.
2. Criminal Investigation Department, Fuzhou Police Office, Fuzhou 350000, China.
3. Institute of Insect Sciences, Zhejiang University, Hangzhou 310000, China.
- Publication Type:Review
- Keywords:
forensic pathology;
artificial intelligence;
determination of postmortem interval;
review
- MeSH:
Artificial Intelligence;
Big Data;
Forensic Pathology;
Humans;
Postmortem Changes;
Time Factors
- From:
Journal of Forensic Medicine
2020;36(1):86-90
- CountryChina
- Language:English
-
Abstract:
The estimation of postmortem interval （PMI） is a core issue in forensic practice. A large amount of time-dependent data can be produced in the decomposition process of a body, however, such multidimensional data cannot be comprehensively and effectively analyzed and utilized by any existing conventional PMI estimation method. As a rapidly developing information technology, artificial intelligence （AI） has significant advantages in big data processing, due to it's comprehensiveness, efficiency and automation. Some scholars have already applied it to researches on the estimation of PMI, showing it's significant advantages in terms of accuracy and development prospect. This article reviews the significance, mode and progress of application of AI in PMI estimation and provides some suggestions and prospects for future study.
