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NCT Number: NCT07452276

Artificial Intelligence-Based Cognitive Training in Patients With Stroke

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.

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Key information

Conditions

Post-Stroke Cognitive Impairment (PSCI) Artifical Intelligence Brain Diseases Cardiovascular Diseases Central Nervous System Diseases Cerebrovascular Disorders Nervous System Diseases Stroke Vascular Diseases

Age range

45 year–60 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Physical therapy- Cairo University

Cairo, Egypt, 62517

Location status: Recruiting

Location contact

Omima Alaa Eldin Hussein

CONTACT

[email protected]

+201207838324

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • 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 criteria

  • 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).

Treatment and study plan

cognifit Mobile Application for Cognitive Training

Device

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.

Conventional Cognitive Rehabilitation

Behavioral

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.

Primary outcomes

  1. Change in Cognitive Function

    Time frame: Baseline and 6 weeks post-intervention

    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.

Study contacts

Contact information is provided by the study sponsor or research team.

Omima Alaa Eldin Hussein

CONTACT

[email protected]

+201207838324

Sponsors and collaborators

Lead sponsor

Omima Alaa Eldin Hussein

Other

Registry information

Official study title

Effect of Artificial Intelligence-Based Training on Cognitive Functions in Patients With Stroke

Acronym: AICoRe-Stroke

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
Mar 5, 2026
Registry last updated
Mar 5, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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