Sensitive quantification of cerebellar speech abnormalities using deep learning models.
Kyriakos VattisAnna C LuddyJessey S OuillonNicole M EklundChristopher D StephenJeremy D SchmahmannAdonay S NunesAnoopum S GuptaPublished in: medRxiv : the preprint server for health sciences (2023)
Such models have the potential to assist with early detection of ataxia and to provide sensitive and low-burden assessment tools in support of clinical trials and neurological care.
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