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

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>...

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Bibliographic Details
Main Authors: Solonas Symeou, Marios Lampros, Panagiota Zagorianakou, Spyridon Voulgaris, George A. Alexiou
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Children
Subjects:
machine learning
deep learning
Chiari malformation
CMI patients
CMI diagnosis
CMI prognosis
Online Access:https://www.mdpi.com/2227-9067/12/2/244
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