A lightweight artificial intelligence system described in the International Journal of Business Intelligence and Data Mining is designed to assess rehabilitation exercises as a person performs them. According to a news brief from Medical Xpress, the system tracks movements in real time while keeping computational demands low enough for simple, low-powered devices.
This could make computer-assisted rehabilitation more practical outside specialised clinics, where high-end hardware may not be available. The brief does not include technical details, error rates, or clinical validation, so the system's effectiveness in real-world therapy remains an open question.
Still, the approach points toward a more accessible model for remote or home-based rehabilitation, where everyday devices might one day guide patients through exercises without needing bulky equipment or constant clinician oversight.