Background and Aims: eHealth innovations allow the integration of artificial intelligence (AI) and IoT-devices to optimize personalized care and provide self-care assistance during cardiac rehabilitation (CR). TIMELY is the first AI-driven eHealth approach promoting targeted personalized lifestyle interventions. TIMELY includes continuous risk prediction, decision support tools and assists lifestyle changes based on psychosocial assessment and behavioral change models. Method(s): TIMELY uses a Living Lab approach for iterative and participatory design. Routes for patient information and communication will be based on an app complemented by adaptive chat bots for the assessment of psychosocial CR-relevant components. Self-applicable ECG devices, activity trackers and hemodynamic monitors will inform about therapy progress and risks. The TIMELY AI will allow continuous risk prediction and AI behavioral change agents will help to optimized program adherence and support long-term lifestyle changes. Result(s): Living Lab interviews revealed patients' requirements and good acceptance of the proposed solution. Patients reported high acceptance of the eHealth solution in general and of components informing on current diagnosis, clinical/ laboratory parameters, future risks and support for physical activity (motivational messages, progress documentation, training updates). Assistance with smoking cessation and stress management was considered important, dietary support was not prioritized. Communication by adaptive chat bots was generally accepted, even if personal feedback was highly appreciated. Conclusion(s): TIMELY will be the first AI-powered multimodal intervention system supporting CAD patients to achieve long-lasting lifestyle changes. TIMELY may be applied in different European health care settings to coordinate a multidisciplinary care team and improved quality of life and health outcomes. [Formula presented]Copyright © 2022