"'数字孪生'能真正改善多发性硬化症的护理"

T. Ziemssen, P. Stegmaier
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引用次数: 0

摘要

Tjalf Ziemssen 博士教授认为自己是一位充满激情的数字先锋。除了在德累斯顿神经大学医院临床神经科学中心治疗多发性硬化症患者的日常工作之外,他和他的团队还在开发 "数字多发性硬化症双胞胎 "的概念。这可以被认为是一个虚拟副本、一个数字仪表盘,或者用现代术语来说,一个能够定量描述个体疾病的患者化身。其美妙之处在于,人工智能、机器学习和数据分析的结合使数字孪生能够在问题发生之前发现问题并优化流程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
„Der ,Digitale Zwilling‘ kann die MS-Versorgung wirklich verbessern“
Prof. Dr Tjalf Ziemssen sees himself as a digital pioneer with a lot of passion. Alongside and parallel to his day-to-day work at the Centre for Clinical Neurosciences at the Neurological University Hospital Dresden, treating patients with multiple sclerosis, he and his team are developing the concept of the ‚digital MS twin‘. This can be thought of as a virtual copy, a digital dashboard or, in modern parlance, an avatar of a patient that is able to quantitatively describe the individual disease. The beauty of this is that a combination of artificial intelligence, machine learning and data analysis enables digital twins to uncover problems before they occur and optimise processes.
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