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Updated: Jul 19, 2025

Author Spotlight: Developing a Bedside Protocol for Kidney and Genitourinary Ultrasonography
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Author Spotlight: Developing a Bedside Protocol for Kidney and Genitourinary Ultrasonography

Published on: June 21, 2024

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预测阻塞风险使用常见的超声波参数在儿童水性缩与机器学习的超声波参数

Adree Khondker1,2, Jethro C C Kwong3,4, Margarita Chancy2

  • 1Temerty Faculty of Medicine, University of Toronto, Toronto, Onterio, Canada.

BJU international
|August 18, 2023
PubMed
概括

使用常规超声检测结果的机器学习模型可以预测水缩症儿童的脏阻塞风险,有助于安全地避免不必要的尿液瘤学. 这种方法改善了儿科脏阻塞的诊断标准.

关键词:
在PUJ阻塞.人工智能的人工智能是人工智能.尿液清理图 (renogram) 是一个尿液清理图.液态化是一种化.机器学习是机器学习.核医学是核医学的一种.

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