Systematic Review of Artificial Intelligence Approaches in Forensic Toxicology

A comprehensive systematic review of artificial intelligence applications in forensic toxicology would offer a detailed evaluation of current research concerning the integration of AI methodologies within this critical discipline of forensic science. Thus, the current research aims to provide a comprehensive overview of current knowledge on the application of artificial intelligence in forensic toxicology. This systematic review will examine the opportunities and challenges associated with applying various AI technologies to forensic toxicology, with a particular emphasis on generative AI, expert systems, and machine learning. The review will outline a systematic and reproducible approach for determining the current best practices in the daily application of AI by forensic toxicologists.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-03
DOI
https://doi.org/10.5281/zenodo.17800711
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Systematic Review of Artificial Intelligence Approaches in Forensic Toxicology

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Systematic Review of Artificial Intelligence Approaches in Forensic Toxicology

article en

Abstract

A comprehensive systematic review of artificial intelligence applications in forensic toxicology would offer a detailed evaluation of current research concerning the integration of AI methodologies within this critical discipline of forensic science. Thus, the current research aims to provide a comprehensive overview of current knowledge on the application of artificial intelligence in forensic toxicology. This systematic review will examine the opportunities and challenges associated with applying various AI technologies to forensic toxicology, with a particular emphasis on generative AI, expert systems, and machine learning. The review will outline a systematic and reproducible approach for determining the current best practices in the daily application of AI by forensic toxicologists.

Zenodo (CERN European Organization for Nuclear Research)
Gender equality
Openalex Percentile: Top 47%
Artificial Intelligence in Healthcare and Education
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