How AI-Based Digital Rehabilitation Improves End-User Adherence: Rapid Review

Area of Science:

• Rehabilitation Technology
• Digital Health
• Artificial Intelligence Applications

Background:

• Artificial intelligence (AI) is transforming rehabilitation by personalizing treatment and improving outcomes.
• End-user compliance is crucial in AI-driven digital rehabilitation (DR).
• Analyzing AI's role in boosting DR compliance is vital for sustainable practices.

Purpose of the Study:

• To assess how AI-based digital rehabilitation (DR) can improve end-user compliance and adherence to rehabilitation programs.

Main Methods:

• Systematic literature search following Cochrane and PRISMA guidelines.
• Search conducted in PubMed, yielding 922 records.
• 6 relevant studies were included in the final analysis.

Main Results:

• AI enhances compliance through user motivation/engagement (4 studies), improved provider-user communication (4 studies), and personalized solutions (3 studies).
• System usability (2 studies) and reminders/alerts (2 studies) also promote adherence.
• One study evaluated AI for objective compliance measurement versus subjective self-reports.

Conclusions:

• AI integration in rehabilitation offers effective strategies to enhance end-user adherence.
• Findings are relevant for rethinking rehabilitation practices and AI implementation.
• Focus on AI-driven tools can improve long-term rehabilitation outcomes.