Effectiveness of AI-Based Cognitive Training on Brain Function in Stroke Patients Aged 45 to 60

What this Trial Is About

Researchers are investigating whether training based on an artificial intelligence AI application can improve cognitive function in patients who have experienced a stroke. The focus is on stroke patients with cognitive impairments, particularly those in the chronic stage of recovery at least three months after stroke onset. The study aims to assess the impact of AI-based training on multiple cognitive areas including attention, memory, executive function, and processing speed. Participants are randomly assigned to one of two groups. One group receives the AI-based cognitive training using the cognifit mobile application, which offers personalized exercises that adapt to individual performance. The other group undergoes a conventional rehabilitation program that includes aerobic exercise, relaxation activities, and traditional paper-based cognitive exercises, alongside standard physical therapy. Both programs are designed to match in duration and frequency. During the study, cognitive function is measured at the start and again six weeks after the interventions to track changes. Participants will be monitored for their ability to follow instructions and maintain medical stability. The primary outcome focuses on improvements in cognitive function as assessed by standardized tests. The entire study period spans at least six weeks of intervention with assessments to evaluate the effect of the training programs.

Artificial Intelligence-Based Cognitive Training in Patients With Stroke