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Predicting gait patterns from actionable impairments in Duchenne muscular dystrophy: A Machine Learning and Explainable Artificial Intelligence study

2026-08-26

Abstract excerpt

<h4>Background: </h4> Prolonging ambulation is an important treatment goal in children with Duchenne muscular dystrophy (DMD). Clinical management targets 'actionable' (i.e., modifiable) impairments, such as progressive muscle weakness and contractures, that underlie gait pathology. Gait classification may improve clinical decision-making, but the utility of gait classification in clinical practice depends on unde...

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Literature Corpus work
4da941d7-e765-5cbd-8624-6a75df80a3eb
DOI
10.64898/2026.08.24.26361175
Open publication

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Predicting gait patterns from actionable impairments in Duchenne muscular dystrophy: A Machine Learning and Explainable Artificial Intelligence studyDOI 10.64898/2026.08.24.26361175
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