This study would answer the following question:Does AI application-based training improve cognitive function in Patients with Stroke? The aims of this study: To investigate the efficacy of AI application-based training on cognitive function in stroke patients.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Enrollment
40
A structured artificial intelligence-based cognitive training program targeting attention, memory, executive function, and processing speed in patients with stroke. The program provides adaptive, individualized exercises based on participant performance.
A structured conventional rehabilitation program consisting of aerobic exercises, relaxation exercises, and traditional paper-based cognitive exercises for patients with stroke. The duration and frequency of treatment are matched to the experimental group.
Physical therapy- Cairo University
Cairo, Egypt, Egypt
RECRUITINGChange in Cognitive Function
Change in Global Cognitive Function Measured by the Montreal Cognitive Assessment (MoCA) Global cognitive function will be assessed using the Montreal Cognitive Assessment (MoCA), a one-page, 30-point cognitive screening tool that evaluates attention, memory, executive function, language, visuospatial abilities, abstraction, calculation, and orientation. The test takes approximately 10 minutes to administer. Scores range from 0 to 30, with higher scores indicating better cognitive function. A score of less than 26 indicates cognitive impairment.
Time frame: Baseline and 6 weeks post-intervention
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