Artificial Intelligence-Based Cognitive Training in Patients With Stroke

Recruiting now · Not applicable

Conditions studied: Post-Stroke Cognitive Impairment (PSCI), Stroke, Artifical Intelligence

In brief

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.

Key facts

Study ID

NCT07452276

Run by

Omima Alaa Eldin Hussein

People needed

40

Starts

2026-01-01

Expected to finish

2026-06-06

Last updated by the study team

2026-03-05

Who can join

Age: 45 and older, up to 60. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 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

You may not qualify if…

• 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).

Where it is running

• Physical therapy- Cairo University — Cairo, Egypt, Egypt (enrolling)

Full record on ClinicalTrials.gov

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