法医毒理学和人工智能:拓宽视野和不断增长的潜力
Susanna Marinelli1, Elisabetta Pelagatti2, Diana Delfino2
1School of Law, Università Politecnica delle Marche, Ancona, Italy.
La Clinica terapeutica
|January 12, 2026
概括
人工智能 (AI) 和机器学习 (ML) 正在通过提高检测有害物质的效率和准确性来彻底改变法医毒理学. 采用这些技术将加强毒理学评估和公共安全,尽管广泛采用仍然存在挑战.
科学领域:
- 法医毒理学 法医毒理学
- 计算毒理学计算毒理学
- 分析化学 分析化学
背景情况:
- 人工智能 (AI) 和机器学习 (ML) 已经被探索了三十多年来,以提高毒理学评估.
- 20世纪90年代早期的研究集中在专家系统和神经网络上,用于解释毒理学数据.
- 人工智能/ML在法医毒理学中的潜力越来越被认为是提高效率和可解释性.
研究的目的:
- 提供对AI和ML在法医毒理学中的应用进行简要分析.
- 专注于发现和分析新的精神活性物质 (NPS).
- 确定与AI/ML在该领域相关的优势和挑战.
主要方法:
- 在法医毒理学中对AI/ML进行三十年的文献审查.
- 对AI/ML应用的分析,特别是关于新精神活性物质 (NPS) 的应用.
- 识别实施AI/ML技术的好处和障碍.
主要成果:
- 人工智能和机器学习系统通过自动化劳动密集型任务,改进化合物检测和数据处理来提高效率.
- 这些技术尽量减少毒理学评估中的人类错误.
- 随着技术的进步,AI/ML的重要应用已经出现.
结论:
- 法医毒理学的AI为提高准确性,效率和可靠性提供了大量机会.
- 利用人工智能技术有助于检测有毒物质和滥用物质,提高公共安全.
- 采用人工智能的毒理学家准备取得比那些抵制这些进步的人更大的成功.
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