Designing Patient Centred Digital Rehabilitation for Lung Cancer: Integrating AI, Wearables, and Public Involvement

Digital health innovations—especially artificial intelligence (AI) and commercially available activity monitors (CAMs)—offer transformative opportunities for personalised rehabilitation following lung cancer treatment. Survivors often experience impaired physical function, fatigue, and psychological distress, and while walking is a preferred and accessible rehabilitation modality, patients frequently require structured feedback and motivation. This extended abstract synthesises findings from a qualitative, patient and public involvement (PPI)-informed study involving lung cancer survivors, clinicians, and AI experts, highlighting design requirements, barriers, ethical concerns, and opportunities for integrating AI and wearables into equitable, patient-centred digital rehabilitation pathways.