| 标题 |
Can diuretic ultrasound plus interpretable ML predict surgery needs in pediatric UPJO?
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| 其它 | This study aimed to develop an interpretable machine learning (ML) model using diuretic ultrasonography to predict the necessity for surgical intervention in children aged 1 month to 18 years with ureteropelvic junction obstruction (UPJO) thereby providing a non-invasive, radiation-free approach to optimize clinical decision- making. |
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(2025-6-4)
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