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Review | Publishing Language: Chinese | Open Access

Application and Prospect of Artificial Intelligence in Forensic Toxicology

Xinxin RENBo ZOULinpei DONGGe SONGXiaojun WUJing CHANGYunfeng ZHANG( )
Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China
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Abstract

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.

CLC number: DF795.1 Document code: A Article ID: 1008-3650(2026)01-0044-05

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Forensic Science and Technology
Pages 44-48

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Cite this article:
REN X, ZOU B, DONG L, et al. Application and Prospect of Artificial Intelligence in Forensic Toxicology. Forensic Science and Technology, 2026, 51(1): 44-48. https://doi.org/10.16467/j.1008-3650.2024.0086

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Received: 26 September 2024
Revised: 30 October 2024
Published: 06 December 2024
© 2026 The Editorial Office of Forensic Science and Technology

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, http://creativecommons.org/licenses/by/4.0/).