NCT07452276

Artificial Intelligence-Based Cognitive Training in Patients With Stroke

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

• Status: Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 40 (estimated)
• Sponsor: Omima Alaa Eldin Hussein · Academic / Other
• Sex: All
• Age: 45 Years – 60 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Post-Stroke Cognitive Impairment (PSCI)
• Stroke
• Artifical Intelligence

Interventions

Type	Name	Description
DEVICE	cognifit Mobile Application for Cognitive Training	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.
BEHAVIORAL	Conventional Cognitive Rehabilitation	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.

Timeline

• Start date: 2026-01-01
• Primary completion: 2026-02-01
• Completion: 2026-06-06
• First posted: 2026-03-05
• Last updated: 2026-03-05

Locations

1 site across 1 country: Egypt

Regulatory

• FDA-regulated device study