Machine-assisted analysis captures determinants of reversibility in secondary movement disorders, indicating potential clinical applications.
To develop an interpretable, data-driven model that captures the clinico-radiological determinants of reversibility in secondary movement disorders (SMDs) and visualizes them as a reproducible “reversibility signature.”
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Sriram et al. (2026) studied this question.
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