Telehealth Rehabilitation Utilizing AI for Seniors with Mild Cognitive Impairment: A Randomized Controlled Study - Scorecard - MDSpire

Telehealth Rehabilitation Utilizing AI for Seniors with Mild Cognitive Impairment: A Randomized Controlled Study

  • By

  • Minsong Kim

  • Doo Young Kim

  • Taeksoo Jeong

  • Si-Woon Park

  • April 28, 2026

  • 0 min

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Clinical Scorecard: Telehealth Rehabilitation Utilizing AI for Seniors with Mild Cognitive Impairment: A Randomized Controlled Study

At a Glance

CategoryDetail
ConditionMild Cognitive Impairment (MCI), a transitional state to dementia
Key MechanismsAI-driven, self-guided, home-based cognitive rehabilitation with autonomous difficulty adjustment
Target PopulationOlder adults aged 65 years or older with MCI (K-MMSE2 score 18-26)
Care SettingHome-based telerehabilitation using AI platform (Zenicog®)

Key Highlights

  • Intervention group showed significant improvement in global cognitive function (K-MMSE2 median 28.0 vs. 26.0; p < 0.001)
  • Clinical success (K-MMSE2 ≥27) achieved by 93.9% in intervention group vs. 0% in control
  • High usability and satisfaction scores (≥4.5/5) with no adverse events or dropouts

Guideline-Based Recommendations

Diagnosis

  • Identify MCI using standardized cognitive screening tools such as K-MMSE2 with scores between 18 and 26

Management

  • Implement AI-driven, self-guided telerehabilitation programs to improve global cognitive function in MCI patients
  • Use home-based computerized cognitive rehabilitation to overcome logistical barriers of clinic-based therapy

Monitoring & Follow-up

  • Monitor cognitive function primarily via global cognitive assessments (e.g., K-MMSE2)
  • Assess usability and patient satisfaction regularly to ensure adherence

Risks

  • No significant adverse events reported with AI-driven telerehabilitation in MCI patients
  • Minimal supervision required, reducing risks associated with clinic visits

Patient & Prescribing Data

Older adults with Mild Cognitive Impairment (K-MMSE2 18-26), aged 65 years or older

A 5-week home-based AI-driven cognitive rehabilitation program (24 sessions) significantly improves global cognitive function with high patient satisfaction and no adverse effects

Clinical Best Practices

  • Utilize AI algorithms to autonomously adjust cognitive task difficulty based on real-time performance data
  • Adopt telerehabilitation to enhance accessibility and adherence in elderly and frail populations
  • Ensure blinded randomization and concealed allocation in clinical trials evaluating cognitive interventions
  • Focus on global cognitive function as primary outcome measure in MCI rehabilitation studies

References

Original Source(s)

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