Abstract
Ukraine's current rehabilitation and healthcare challenges have catalyzed a national push toward scalable, AI-enabled digital health solutions. This Letter reports on a joint initiative of I.Ya. Horbachevsky Ternopil National Medical University, and the V.M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine to operationalize the human digital twin (HDT) concept within a tele-diagnostic (TD) & artificial intelligence (AI) platform for telerehabilitation and digital education. The Letter delineates how HDTs, understood as continuously updated virtual representations of individual patients, are coupled with AI agents to support remote patient monitoring, decision-support, and personalized rehabilitation trajectories. Beyond clinical care, these HDTs function as virtual patients for simulation-based training and in-silico experimentation, enabling students, residents, and multidisciplinary teams to rehearse diagnostic and therapeutic strategies without risk to real patients. By integrating sensor-derived data, AI-driven expert systems, and web-based learning environments, the TD+AI platform exemplifies how resource-constrained settings can effectively employ HDT technologies to converge digital health and digital education. The Letter concludes by highlighting opportunities for international collaboration to co-develop, validate, and scale such HDT-centered telerehabilitation ecosystems.