J. Clin. Med., 2023 · DOI: 10.3390/jcm12237230 · Published: November 22, 2023
This study examines how machine learning (ML) and robot-assisted gait training (RAGT) can improve the outcomes for individuals with spinal cord injuries (SCI). ML can help predict recovery, while RAGT assists in rehabilitation. The researchers analyzed multiple studies to determine the effectiveness of ML in predicting AIS scores (a measure of SCI severity) and the impact of RAGT on reducing spasticity and improving walking ability. The results suggest that ML can accurately forecast AIS scores, and RAGT can help reduce spasticity and improve walking capabilities in SCI patients.
Machine learning can be used to predict the extent of recovery in SCI patients, which can help clinicians tailor treatment plans and set realistic expectations.
Robot-assisted gait training can reduce spasticity and improve walking ability, potentially leading to increased independence and quality of life for SCI patients.
AI can facilitate desired results and evaluate risk within the SCI patient group, leading to more effective and targeted treatment approaches.