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

作　　者：李娜[1] 张书芮 孙俊红[1] LI Na;ZHANG Shurui;SUN Junhong(School of Forensic Medicine,Shanxi Medical University,Jinzhong 030604,China)

机构地区：[1]山西医科大学法医学院,山西晋中030604

出　　处：《中国司法鉴定》2024年第3期41-48,共8页Chinese Journal of Forensic Sciences

基　　金：国家自然科学基金项目(81971795);山西省重点计划研发项目(202202130501010);山西省科技创新人才团队专项(202204051001025)。

摘　　要：在法医病理学领域,死亡时间、损伤时间、血痕遗留时间及血栓形成时间等时间类问题与案发时间及死因分析直接相关,在案件侦破、责任划分和定罪量刑等司法环节中起着关键作用。随着人工智能(artificial intelligence,AI)技术的发展,各行业对数据分析需求持续增加,以模拟人脑为代表的机器学习技术已经应用于医学研究的多个领域,为法医病理时间类问题的解决提供了新的方法和思路。通过对近年涌现出的一系列应用AI技术解决法医病理时间类问题的相关文献进行综述,以期为复杂鉴定问题研究提供帮助和激发新思考,为司法实践活动提供更为科学、客观的鉴定证据。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 

分 类 号：DF793.1[政治法律—诉讼法学] TP18[政治法律—法学]