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Artificial Intelligence-Based Cognitive Training in Patients With Stroke

NCT07452276 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 40

Last updated 2026-03-05

No results posted yet for this study

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

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.

Sponsors & Collaborators

  • Omima Alaa Eldin Hussein

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
45 Years
Max Age
60 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-01-01
Primary Completion
2026-02-01
Completion
2026-06-06
FDA Device
Yes

Countries

  • Egypt

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07452276 on ClinicalTrials.gov