To evaluate the clinical efficacy of Zenicog®, an AI-driven, self-guided, home-based cognitive rehabilitation program for seniors with Mild Cognitive Impairment (MCI), addressing logistical barriers to traditional therapy.
Key Findings:
The intervention group showed significantly higher K-MMSE2 scores compared to the control group (median 28.0 vs. 26.0; p < 0.001).
93.9% of the intervention group achieved clinical success (K-MMSE2 ≥27) compared to 0% of the control group.
High usability and satisfaction scores (≥4.5/5) with no dropouts due to adverse effects.
Interpretation:
AI-driven, self-guided telerehabilitation is a feasible and effective strategy for improving cognitive function in MCI patients, offering a scalable alternative to traditional therapy and highlighting the need for further research in this area.
Limitations:
Small sample size (62 participants in final analysis) may limit the generalizability of the findings.
No significant differences found in domain-specific cognitive tests, indicating areas for further investigation.
Conclusion:
Zenicog® represents a promising approach to cognitive rehabilitation for seniors with MCI, addressing logistical barriers and enhancing accessibility, which is crucial for effective intervention.
