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Beom Kyu Son on Muck Rack

Beom Kyu Son

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Articles

End-to-end deep learning-based determination of programmable shunt valve settings from standard two-view skull radiographs

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By Ji Yang, Hyung Koo, Se-Hyuk Kim, Beom Kyu Son
| Nature Verified
Abstract Accurate identification of programmable shunt valve settings is crucial for managing patients with hydrocephalus, as unintended setting changes can lead to overdrainage or underdrainage of cerebrospinal fluid (CSF). Existing artificial intelligence (AI) models primarily focus on classifying shunt valve models using pre-cropped regions of interest or tangential radiographs, which limits clinical applicability.
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