支持人工智能的生活实验室:加速多发性硬化症护理和研究方面的创新
Hernan Inojosa1, Rebecca Mathias2, Anja Dillenseger1
1Center of Clinical Neuroscience, Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus Dresden, TUD Dresden University of Technology, Dresden, Germany.
Multiple sclerosis (Houndmills, Basingstoke, England)
|March 13, 2026
概括
生活实验室 (LLs) 提供了一个整合人工智能 (AI) 和数字健康在多发性硬化症 (MS) 护理中的框架. 这种方法促进了针对个性化患者管理的创新数字工具的现实世界测试和评估.
科学领域:
- 数字健康数字健康
- 人工智能的人工智能
- 神经科学是一个神经科学.
背景情况:
- 人工智能 (AI) 和数字健康技术为个性化多发性硬化症 (MS) 护理提供了潜力.
- 常规实施面临挑战,包括监管问题,基础设施碎片化和有限的现实世界评估方法.
研究的目的:
- 在概念上构建生活实验室 (LLs),以促进多发性硬化症的护理和研究.
- 为在现实世界的临床环境中实施人工智能支持的数字工具提供一个实际的框架.
- 详细介绍整合模式,并定义关键绩效指标,用于国家AI应用程序.
主要方法:
- 概念审查和框架的发展,生活实验室在MS.
- 使用数字语音任务与自动功能提取的示例应用程序.
- 定义可行性,数据质量,可用性和临床实用性的关键绩效指标.
- 将LL运营与道德和监管标准保持一致.
主要成果:
- 生活实验室为数字工具的代开发和测试提供了动态环境.
- 一个共同设计的模型可以为AI实施产生与决策相关的证据.
- 整合人工智能工具可以缩短行动时间,并将创新嵌入到临床工作流程中.
结论:
- 生活实验室为推进人工智能驱动的多发性硬化症个性化护理提供了一个可行的模型.
- 拟议的框架支持扩展创新的伦理和监管合规性.
- 在LLs内的结构化协作是MS实践中成功实现数字健康整合的关键.
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