Symbiopersonal intelligence towards symbiotic and personalized digital medicine
Alfred Mensah, Qiwen Bao, Zhaonan Zhang, Chen Ya, Qing Jiang, Pingqiang Cai
Abstract
In this perspective, we introduce the concept of Symbiopersonal Intelligence (SymAI)-a specialized form of artificial intelligence designed to facilitate and optimize symbiotic interactions between individuals and intelligent devices in digital medicine. SymAI represents a new frontier in personalized intelligent systems, adaptively learning from and catering to individual needs and behaviors. We explore its emergence and potential implementation in both personal and public healthcare, encompassing telemedicine, precision medicine, surgical assistance, chronic disease management, and policy optimization. Key technological frameworks and hardware enablers are outlined, with a particular emphasis on multimodal data retrieval, transmission, and processing, as well as personalized interventions delivered via wearable and implantable devices. By integrating artificial intelligence into sensor technologies and addressing barriers in flexible electronics, SymAI holds the potential to revolutionize digital health, offering more responsive, tailored care and improved health outcomes.