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Explainable Artificial Intelligence in Stroke from the Clinical, Rehabilitation and Nursing Perspectives

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non-invasive brain stimulation; stroke; spasticity; meta-analysis; hemiplegia; electromyographic bridge; upper limb rehabilitation; randomized controlled trial; hypoxic ischemic encephalopathy; disorders of consciousness; metabolic connectivity; positron emission tomography; 18F-fluorodeoxyglucose; hand function rehabilitation; hand rehabilitation robot; computer vision technology; wearable devices; sensors; artificial intelligence; brain–computer interface; active rehabilitation training; motor function; brain function; executive function; postural control; gait; repetitive transcranial stimulation; facial paralysis; peripheral magnetic stimulation; blood flows; laser speckle; stroke rehabilitation; upper limb; automated system; motor function assessment; Fugl-Meyer Assessment; motor attempt (MA); EEG; deep learning method; overlapping time window; facial expression recognition (FER); vision transformer (ViT); convolutional neural networks (CNNs); rehabilitation; assessment; upper extremity; hand; brain–computer interfaces; motor task; sensorimotor rhythm; hand rehabilitation; motor imagery; virtual reality; rTMS; DTI; immersive virtual reality; post-stroke cognitive impairment; aging

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