Donovan-Hall, MaggieAlghamdi, Rahaf2025-12-152025https://hdl.handle.net/20.500.14154/77492Background: Artificial intelligence (AI) demonstrates potential to transform prosthetic rehabilitation through enhanced personalisation, real-time adaptability, and improved functional outcomes. In prosthetic care, AI can optimise socket design, interpret biosignals for intuitive limb control, and analyse gait. Despite promising technological advances, clinical adoption remains limited due to concerns regarding system reliability, data privacy, and insufficient clinician preparedness. Understanding healthcare professionals' perspectives is critical for effective implementation. Methods: A pilot online survey utilising open and closed-ended questions was administered to physiotherapists, occupational therapists, and prosthetists involved in amputation care. The adapted survey contained 23 closed-ended items (demographic background, awareness, benefits, concerns, trust of AI) and two open-ended questions. Data analysis employed descriptive statistics and content analysis. Results: Among 43 participants, results revealed high theoretical AI awareness (84% familiarity) but limited practical exposure (37% encountered AI tools). Strong optimism existed regarding AI's benefits for care quality, clinical decision-support, and treatment personalisation. Significant concerns included insufficient training/resources, data privacy, and system reliability. Importantly, 95% believed AI should complement, not replace, clinicians. Conclusion: This pilot study offers insights into rehabilitation professionals’ perceptions of AI in prosthetic rehabilitation and confirms the adapted survey as feasible for large-scale research. Clinicians demonstrated cautious optimism toward AI integration, viewing it as an augmentative tool rather than a replacement for expertise. The primary adoption barrier is not resistance but a critical training and resource gap. Future implementation must prioritise professional education, address data security concerns, and develop AI systems aligned with distinct professional values within multidisciplinary teams.35enArtificial intelligenceProsthetic rehabilitationAmputation careHealthcare professionalsPerceptionsImplementationClinical adoption.Rehabilitation technologyThesis