人工智能在法医毒物学中的应用与展望OA
Application and Prospect of Artificial Intelligence in Forensic Toxicology
随着人工智能(artificial intelligence,AI)飞速发展,法医毒物学与AI的交叉融合日益成为法庭科学的研究热点,为解决传统法医毒物学问题提供了新的思路与方法.本文对近年来国内外相关研究进行综述,重点介绍了 AI在中毒现场勘查,毒物筛查与定性定量分析、毒性预测、毒代动力学、毒物相互作用等毒理学研究,以及涉案人员个体识别与特征刻画等方面的研究进展,对AI技术在法医毒物学领域面临的挑战与发展趋势进行了分析,以期为AI技术更好地服务于法医毒物学研究与应用提供参考.
In recent years,the rapid development of artificial intelligence(AI)has brought unprecedented opportunities and challenges to scientific and technological research in various fields.The cross-integration of forensic toxicology and AI has increasingly become a research hotspot of forensic science,providing new ideas and methods to solve the problems of traditional forensic toxicology.In this paper,relevant researches in recent years have been reviewed,focusing on the research progress of AI in toxicological research such as on-site investigation of poisoning,toxicant screening and qualitative and quantitative detection,toxicity prediction,toxicokinetics,toxicants interaction,as well as the identification and characterization of involved personnel in cases,and the challenges faced by AI technology in the field of forensic toxicology have also been analyzed,in order to provide reference for AI technology to better serve the research and application of forensic toxicology.
任昕昕;邹波;董林沛;宋歌;吴小军;常靖;张云峰
公安部鉴定中心,北京 100038公安部鉴定中心,北京 100038公安部鉴定中心,北京 100038公安部鉴定中心,北京 100038公安部鉴定中心,北京 100038公安部鉴定中心,北京 100038公安部鉴定中心,北京 100038
社会科学
人工智能中毒现场勘查毒物分析毒理学识别刻画
artificial intelligence(AI)poisoning scene investigationtoxicological analysistoxicologyidentification and profiling
《刑事技术》 2026 (1)
44-48,5
中央级公益性科研院所基本科研业务费专项资金项目(2024YJGG01)北京市科技新星计划(20230484316)
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