Exposure assessment is a crucial component of environmental health research, providing essential information on the potential risks associated with various chemicals. A systematic scoping review was conducted to acquire an overview of accessible human exposure assessment methods and computational tools to support and ultimately improve risk assessment. The systematic scoping review was performed in Sysrev, a web platform that introduces machine learning techniques into the review process aiming for increased accuracy and efficiency. Included publications were restricted to a publication date after the year 2000, where exposure methods were properly described. Exposure assessments methods were found to be used for a broad range of environmental chemicals including pesticides, metals, persistent chemicals, volatile organic compounds, and other chemical classes. Our results show that after the year 2000, for all the types of exposure routes, probabilistic analysis, and computational methods to calculate human exposure have increased. Sixty-three mathematical models and toolboxes were identified that have been developed in Europe, North America, and globally. However, only twelve occur frequently and their usefulness were associated with exposure route, chemical classes and input parameters used to estimate exposure. The outcome of the combined associations can function as a basis and/or guide for decision making for the selection of most appropriate method and tool to be used for environmental chemical human exposure assessments in Ontology-driven and artificial intelligence-based repeated dose toxicity testing of chemicals for next generation risk assessment (ONTOX) project and elsewhere. Finally, the choice of input parameters used in each mathematical model and toolbox shown by our analysis can contribute to the harmonization process of the exposure models and tools increasing the prospect for comparison between studies and consistency in the regulatory process in the future.

中文翻译：

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估算人类化学品暴露量以支持风险评估的可用方法和工具：系统范围界定审查


暴露评估是环境健康研究的重要组成部分，提供与各种化学品相关的潜在风险的重要信息。进行了系统范围审查，以了解可利用的人类暴露评估方法和计算工具，以支持并最终改进风险评估。系统范围界定审查是在 Sysrev 中进行的，该网络平台将机器学习技术引入审查过程，旨在提高准确性和效率。纳入的出版物仅限于 2000 年之后的出版日期，其中正确描述了暴露方法。研究发现，暴露评估方法适用于多种环境化学品，包括农药、金属、持久性化学品、挥发性有机化合物和其他化学品类别。我们的结果表明，2000 年之后，对于所有类型的暴露途径，概率分析和计算人类暴露的计算方法都有所增加。确定了欧洲、北美和全球开发的 63 个数学模型和工具箱。然而，只有 12 种经常出现，并且它们的有用性与暴露途径、化学类别和用于估计暴露的输入参数相关。组合关联的结果可以作为决策的基础和/或指南，以选择最合适的方法和工具，用于本体驱动和基于人工智能的重复剂量毒性测试中的环境化学品人体暴露评估。用于下一代风险评估 (ONTOX) 项目和其他地方的化学品。 最后，我们的分析显示的每个数学模型和工具箱中使用的输入参数的选择有助于暴露模型和工具的协调过程，增加了未来研究之间比较和监管过程一致性的前景。