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Applications of Machine Learning in the Diagnosis and Prognosis of Patients with Chiari Malformation Type I: A Scoping Review

<b>Background:</b> The implementation of machine learning (ML) models has significantly impacted neuroimaging. Recent data suggest that these models may improve the accuracy of diagnosing and predicting outcomes in patients with Chiari malformation type I (CMI). <b>Methods</b>: A scoping review was...

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Hlavní autoři: Solonas Symeou, Marios Lampros, Panagiota Zagorianakou, Spyridon Voulgaris, George A. Alexiou
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2025-02-01
Edice:Children
Témata:
machine learning
deep learning
Chiari malformation
CMI patients
CMI diagnosis
CMI prognosis
On-line přístup:https://www.mdpi.com/2227-9067/12/2/244
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