Machine learning-based adaptive personalization in virtual reality stroke rehabilitation: a systematic review.

Reinforcement learning ( n = 8) and deep learning ( n = 7) were prominent algorithms.

Around 80% of studies implemented real-time closed-loop adaptation.

This improvement exceeds the minimal clinically important difference.

The usability scores were positive (SUS=72.5), with few adverse events reported.