Artificial Intelligence-Based Cognitive Training in Patients With Stroke
Effect of Artificial Intelligence-Based Training on Cognitive Functions in Patients With Stroke
Omima Alaa Eldin Hussein
40 participants
Jan 1, 2026
INTERVENTIONAL
Conditions
Summary
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.
Eligibility
Inclusion Criteria5
- Patient's age will range from 45- 60 years.
- Diagnosis of stroke in the chronic stage (≥3 months post-onset).
- Presence of cognitive impairment confirmed by a Montreal Cognitive Assessment (MoCA) score ≤ 26.
- Medically stable and able to follow instructions.
- patients with memory deficits following stroke
Exclusion Criteria5
- \- Patients will be excluded if they have:
- Severe visual, hearing, or speech impairments prevent participation.
- History of other neurological or psychiatric disorders.
- Unstable cardiovascular or systemic disease.
- Severe depression (Beck Depression Inventory > 29).
Interested in this trial?
Get notified about updates and connect with the research team.
Interventions
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.
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT07452276