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构想和实施一种新的连续葡萄糖监测解决方案,可在机上进行葡萄糖预测
Timor Glatzer1, Christian Ringemann1, Daniel Militz1
1Roche Diabetes Care GmbH, Mannheim, Germany.
Journal of diabetes science and technology
|August 19, 2024
概括
该Accu-Chek智能指南解决方案为糖尿病 (DM) 管理提供持续的实时血糖监测 (rtCGM). 它使用人工智能 (AI) 来预测葡萄糖洞察力,从而实现主动控制.
科学领域:
- 糖尿病 技术 技术
- 医疗保健中的人工智能
- 生物医学工程 生物医学工程
背景情况:
- 糖尿病 (DM) 需要持续的葡萄糖监测以有效管理.
- 预测技术可以使DM患者能够主动控制葡萄糖水平.
- 现有的持续实时血糖监测 (rtCGM) 解决方案旨在改善患者的治疗结果.
研究的目的:
- 描述创新的Accu-Chek智能指南解决方案,一个新的CE标记rtCGM系统.
- 突出AC智能指南解决方案的组件和预测能力.
- 在DM管理中引入人工智能 (AI) 集成用于葡萄糖预测.
主要方法:
- 该Accu-Chek智能指南解决方案包括一个CGM设备 (传感器应用器和补丁),通过蓝牙低能耗向智能手机传输数据.
- 该系统使用AC SmartGuide应用程序进行当前和历史的葡萄糖指标.
- 该AC智能指南预测应用程序结合AI进行葡萄糖水平预测.
主要成果:
- AC智能指南解决方案是一个全面的系统,旨在为患有DM的个体主动控制葡萄糖.
- 该解决方案集成了实时数据,历史指标和人工智能驱动的预测.
- 蓝牙低能耗可促进从CGM传感器到智能手机的无数据传输.
结论:
- 该Accu-Chek智能指南解决方案代表了用于糖尿病管理的rtCGM技术的创新进步.
- 该系统的预测能力由人工智能驱动,提供了一种主动的方法来控制葡萄糖水平.
- 这种综合性解决方案旨在增强糖尿病的自我管理.
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