Effect of AI-based techniques in improving cognitive functions among post-stroke patients: a pilot study

Aim: To investigates the possible advantages of integrating artificial intelligence (AI) technology with neurophysiotherapy to enhance cognitive functions in stroke patients. Materials and Methods: Ten stroke patients were divided into an intervention group and a control group. The intervention group participated in a 12- week AI-enhanced neurophysiotherapy program using Neuronation and Lumosity for personalized cognitive training, while the control group received conventionalrehabilitation. Cognitive functions were assessed at baseline, mid-point (6 weeks), and post-intervention (12 weeks), focusing on improvements in memory, attention, and executive functions. Results: The intervention group showed significant improvements in memory recall, sustained attention, and problem-solving abilities, particularly in the second half of the program, suggesting a cumulative effect. Statistical analysis confirmed significant cognitive gains (p < 0.05) within and between groups. Conclusions: AI-based techniques in neurophysiotherapy show positive impact in improving cognitive recovery among post-stroke patients. This pilot study provides preliminary evidence supporting their feasibility and efficacy.