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Updated: Jan 17, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

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超越基于时间的计费:一个人工智能支持的复杂性模型,用于安全的消息报销

Dong-Gil Ko1, Umberto Tachinardi2,3, Eric J Warm4

  • 1Department of Operations, Business Analytics & Information Systems, Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, Ohio, USA.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
|September 23, 2025
PubMed
概括

目前的远程医疗计费没有考虑到临床复杂性. 一个使用消息内容和电子健康记录参与的新AI模型,而不仅仅是时间,提供了一种更公平的方式来偿还提供者安全的患者信息.

关键词:
临床复杂性建模的临床复杂性建模.认知负载的认知负载机器学习是机器学习.安全的消息传递.有意义的创造意义的创造远程医疗计费的计费方式

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