应急毒理学中的人工智能应用:进步和挑战
Lorraine Pei Xian Yong1,2, Joshua Yi Min Tung3, Nicole Mun Teng Cheung1,2
1Urgent Care Centre, Alexandra Hospital, Singapore, Singapore.
Journal of medical Internet research
|August 22, 2025
概括
人工智能 (AI) 在紧急毒理学方面表现有前途, 然而,为了广泛的临床使用,必须解决数据质量和实施等挑战.
科学领域:
- 紧急医疗
- 毒理学
- 人工智能
背景情况:
- 紧急毒理学需要对急性中毒作出快速决策.
- 时间和资源的限制挑战了传统的诊断和治疗方法.
- 人工智能 (AI) 在紧急医疗方面具有潜力,但其在毒理学方面的作用尚未得到充分研究.
研究的目的:
- 在紧急毒理学中提供AI应用的视角.
- 突出这一领域的关键进展,挑战和人工智能的未来方向.
主要方法:
- 这一观点讨论了当前和潜在的AI应用.
- 它回顾了有关人工智能在紧急毒理学方面的现有文献和专家意见.
主要成果:
- 人工智能在改善毒理学预测方面具有显著的潜力.
- 主要挑战包括数据质量,监管问题和实施障碍.
结论:
- 进一步的研究,监管框架和整合策略至关重要.
- 在临床实践中有效和道德地实施人工智能需要解决已确定的障碍.
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