从自动化到实验室医学中的代理人工智能:IFCC新兴技术部门的意见
Damien Gruson1,2,3, Bernard Gouget3,4, Woochang Lee3,5
1Department of Clinical Biochemistry, Cliniques Universitaires St-Lux, Brussels, Belgium and Université Catholique de Louvain, Brussels, Belgium.
Clinical chemistry and laboratory medicine
|December 27, 2025
概括
代理人工智能 (AI) 系统,超越大型语言模型 (LLM),为复杂的任务提供自主规划和执行. 这项技术有望将实验室医学转变为以结果为导向的创新,同时需要仔细的伦理考虑.
科学领域:
- 人工智能的人工智能
- 实验室医学 实验室医学
- 数字健康数字健康
背景情况:
- 代理人工智能系统代表了传统机器学习和大型语言模型 (LLM) 的演变.
- 这些系统可以调用工具,编写命令链,并利用推理来执行复杂的任务.
- 数字双胞胎为持续学习和模拟提供动态虚拟表示.
研究的目的:
- 在实验室医学中探索代理AI的机会和局限性.
- 突出代理人工智能的潜力,推动自主,结果驱动的创新.
- 检查对代理人工智能实施的伦理,解释性和治理方面的考虑.
主要方法:
- 代理人工智能能力的概念分析.
- 对实验室医学工作流程的影响的审查.
- 对道德和治理框架的讨论.
主要成果:
- 代理人工智能使复杂的工作流程的自主规划,执行和协调成为可能,超过了传统的LLMs.
- 数字双胞胎通过持续的学习和适应来增强患者和过程的表现.
- 代理人工智能存在显著的潜力,可以使实验室医学超越静态自动化.
结论:
- 代理人工智能为实验室医学提供了变革性的潜力,朝着自主,结果驱动的创新迈进.
- 实施需要仔细考虑道德,可解释性和治理挑战.
- 这种技术转变需要重新评估实验室操作和价值交付.
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