Background: Physiotherapy is essential for managing musculoskeletal, neurological, and post-surgical conditions. However, access to rehabilitation services remains limited in rural areas due to a shortage of trained professionals, infrastructure constraints, and transportation barriers. Emerging technologies, such as AI-enabled tele-rehabilitation, offer the potential to bridge these gaps by delivering remote assessments, personalized exercise programs, and real-time feedback. Objective: This study aims to evaluate the feasibility and acceptability of AI-driven tele-rehabilitation among rural patients and healthcare providers. It also seeks to identify perceived barriers to its adoption, explore potential benefits, and assess its influence on treatment adherence and clinical outcomes. Methods: A cross-sectional survey was conducted involving 458 participants, including rural patients with musculoskeletal or neurological conditions, physiotherapists, and healthcare personnel. Participants were selected using convenience sampling. A self-structured questionnaire was administered to gather information on demographics, health status, access to digital technology, perceptions of AI, and barriers to tele-rehabilitation implementation. Results: The study anticipates uncovering key challenges to AI-based tele-rehabilitation uptake, including technological literacy, financial constraints, psychological readiness, and regulatory limitations. It is also expected to highlight opportunities for expanding physiotherapy access through AI, particularly in underserved rural regions. Conclusions: Findings from this study will inform strategies to facilitate the integration of AI-driven tele-rehabilitation into rural health systems. By addressing both barriers and enablers, the research aims to guide healthcare providers, policymakers, and stakeholders in enhancing rehabilitation equity and narrowing the urban–rural divide in musculoskeletal care.