AI has emerged as a pivotal tool in redefining TBI rehabilitation, bridging gaps in traditional care with innovative, data-driven approaches. While its potential to enhance diagnostic accuracy, outcome prediction, and individualized therapy is evident, challenges such as bias in datasets and ethical implications must be addressed. Continued research and multidisciplinary collaboration will be key to harnessing AI’s full potential, ensuring equitable access and optimizing recovery outcomes for TBI patients.

Overall, the integration of AI in TBI rehabilitation presents numerous opportunities to advance patient care and enhance the effectiveness of therapeutic interventions.