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Updated: May 5, 2026

A Novel Approach to Monitoring Graft Neovascularization in the Human Gingiva
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通过轻量卷积神经网络使用血流声音信号预测血管接入狭窄

Jia-Jung Wang1, Alok Kumar Sharma2, Shing-Hong Liu2

  • 1Department of Biomedical Engineering, I-Shou University, Kaohsiung 82445, Taiwan.

Sensors (Basel, Switzerland)
|September 28, 2024
PubMed
概括

这项研究引入了一种使用深度学习的新型非侵入性声学方法,用于检测透析血管接入中的阻塞 (囊). 这种新的方法实现了100%的准确性,为透患者提供了可扩展的解决方案.

关键词:
深度学习是一种深度学习.管 管是一种管.血液透析是血液透析的方法之一.轻质卷积神经网络 (CNN) 是一种神经网络.血管接入的途径.

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To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
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