A Review of Innovative Medical Rehabilitation Systems with Scalable AI-Assisted Platforms for Sensor-Based Recovery Monitoring
Source abstract
Abstract
Artificial intelligence (AI) and machine learning (ML) have introduced new approaches to medical rehabilitation. These technological advances facilitate the development of large-scale adaptive rehabilitation platforms that can be tailored to individual patients. This review focuses on key technologies, including AI-driven rehabilitation planning, IoT-based patient monitoring, and Large Language Model (LLM)-powered virtual assistants for patient support. This review analyzes existing systems and examines how technologies can be combined to create comprehensive rehabilitation platforms that provide personalized care. For this purpose, a targeted literature search was conducted across leading scientific databases, including Scopus, Google Scholar, and IEEE Xplore. This process resulted in the selection of key peer-reviewed articles published between 2018 and 2025 for a detailed analysis. These studies highlight the latest trends and developments in medical rehabilitation, showcasing how digital technologies can transform rehabilitation processes and support patients. This review illustrates that AI, the IoT, and LLM-based virtual assistants hold significant promise for addressing current healthcare challenges through their ability to enhance, personalize, and streamline patient care.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Stroke Rehabilitation and Recovery · Telemedicine and Telehealth Implementation · Artificial Intelligence in Healthcare and Education
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Robotics and Automation Equipment, Satbayev University, Almaty 050013, Kazakhstan
Faculty of Information Technologies, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan
LLP “Kazakhstan R&D Solutions”, Almaty 050056, Kazakhstan
Funding
Ministry of Science and Higher Education of the Republic of Kazakhstan
References (100+)
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