利用临床数据宝库:将人工智能平台集成到临床IT中
Kfeel Arshad1, Saman Ardalan1, Björn Schreiweis1
1Institute for Medical Informatics and Statistics, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.
Studies in health technology and informatics
|August 23, 2024
概括
我们提出了一个临床人工智能 (AI) 平台,以简化医疗保健中AI模型的培训,管理和应用. 该框架将人工智能开发与现有的临床IT基础设施相结合,以实现无部署.
科学领域:
- 临床信息学 临床信息学
- 人工智能在医学中的应用
- 健康 信息技术 整合 医疗保健 信息技术 整合
背景情况:
- 人工智能 (AI) 在临床环境中的快速扩张需要结构化的框架.
- 现有的系统往往缺乏用于临床AI模型完整生命周期的综合解决方案.
- 人工智能工具在当前医疗IT基础设施中无集成的需要.
研究的目的:
- 引入一种新的临床AI平台,旨在支持AI模型的整个开发周期.
- 在医疗环境中确保临床AI模型的实际应用和管理.
- 展示临床人工智能平台与现有临床IT系统的集成,包括数据集成中心.
主要方法:
- 开发一个全面的临床人工智能平台.
- 专注于将平台与临床IT基础设施集成.
- 将医疗数据集成中心纳入平台的设计.
- 通过特定的临床AI用例进行评估.
主要成果:
- 拟议的平台有助于临床AI模型的端到端管理.
- 证明了与临床IT基础设施 (包括数据集成中心) 的成功整合.
- 使用案例验证了平台在现实临床场景中的功能和适用性.
结论:
- 开发的临床AI平台有效支持AI模型的开发,管理和应用.
- 与临床IT的整合对于AI在医疗保健中的成功采用至关重要.
- 拟议的框架为在临床领域推进人工智能提供了一个可扩展的解决方案.
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