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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Autori principali:	Solonas Symeou, Marios Lampros, Panagiota Zagorianakou, Spyridon Voulgaris, George A. Alexiou
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-02-01
Serie:	Children
Soggetti:	machine learning deep learning Chiari malformation CMI patients CMI diagnosis CMI prognosis
Accesso online:	https://www.mdpi.com/2227-9067/12/2/244
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