中国司法鉴定Issue(3)：41-48,8.DOI:10.3969/j.issn.1671-2072.2024.03.006
人工智能技术驱动的法医病理时间类问题解决策略
Strategies Driven by Artificial Intelligence Technology for Time Problems in Forensic Pathology
摘要
Abstract
In the field of forensic pathology,time related issues such as postmortem interval(PMI),the age of wound,the age of bloodstain,and age of thrombosis are directly related with the cause of death and the time of incident.Issues above play a key role in forensic links such as case investigation,responsibilities allocation,and conviction and sentencing.With the development of artificial intelligence(AI)technology,the demand for data analysis in various industries continues to increase.Machine learning technology represented by simulated human brain has been applied in many fields of medical research,providing new methods and ideas for solving forensic pathological time problems.This article reviews a series of relevant papers on the application of AI technology in solving time related problems in recent years,hoping to provide assistance and stimulate new ideas for complex forensic problems,and provide more scientific and objective evidence for forensic practice.关键词
法医病理学/人工智能/损伤时间/死亡时间/血痕遗留时间/血栓形成时间Key words
forensic pathology/artificial intelligence(AI)/wound age/postmortem interval(PMI)/the age of bloodstain/the age of thrombosis分类
社会科学引用本文复制引用
李娜,张书芮,孙俊红..人工智能技术驱动的法医病理时间类问题解决策略[J].中国司法鉴定,2024,(3):41-48,8.基金项目
国家自然科学基金项目(81971795) （81971795）
山西省重点计划研发项目(202202130501010) （202202130501010）
山西省科技创新人才团队专项(202204051001025). （202204051001025）
