Artificial intelligence (AI) has rapidly become integrated into various aspects of healthcare, and patient rehabilitation was no exception. Physical disabilities—whether resulting from spinal cord injuries, upper or lower limb trauma—often require intensive, personalized, and sustained rehabilitation efforts to restore function and improve quality of life. Recent advancements in AI have paved the way for more adaptive, data-driven rehabilitation solutions that enhance patient outcomes and healthcare efficiency. This entry highlights AI’s current and emerging applications in rehabilitation, such as personalized rehabilitation planning, real-time feedback systems, telerehabilitation platforms, wearable devices, AI-powered robotics, virtual reality environments, and brain–computer interfaces. AI involvement is promising regarding optimizing therapy for patients with trauma-related physical disabilities, including and not limited to improving engagement and predicting outcomes based on patient-specific data. Additionally, AI-integrated robotic systems and motion analysis tools are reshaping traditional rehabilitation paradigms by enabling remote and automated therapeutic interventions. However, the accessibility of these technologies in resource-limited areas is challenging, the potential for algorithmic bias, and concerns related to data privacy, and proper ethical use. Despite these limitations, AI continues to evolve as a transformative technology in rehabilitation, potentially revolutionizing how care is delivered to individuals with physical disabilities. Thoughtful integration of AI tools, ethical considerations, and clinical oversight will be essential to maximize their benefit and ensure equitable access across diverse populations.