Internet of Things-Based Fuzzy Systems for Medical Applications: A Review

The integration of IoT with fuzzy logic provides innovative solutions for various medical applications. IoT enables seamless connectivity between medical devices, real-time monitoring, and data collection. Fuzzy logic has the ability to handle uncertainty and imprecision, thereby enhancing decision-making, medical diagnosis, and treatment. By combining IoT with fuzzy logic, medical providers can develop an intelligent system that improves the quality of healthcare systems. Moreover, the integration of IoT with fuzzy logic enables healthcare providers with powerful predictive analytics capabilities, enabling early detection of diseases and proactive interventions. Several research papers in the literature have investigated the use of IoT with fuzzy logic in medical applications. This review focuses on the use of IoT with fuzzy logic in medical applications. The contributions of this paper are to review the current state of the literature and the potential direction of the medical application of fuzzy system with IoT, and propose a novel scheme that combines Generative Artificial Intelligence (GAI) such as ChatGPT with a fuzzy-based IoT framework. The benefits, challenges, power management, and privacy are also discussed in this paper. The publications are classified according to the type of medical applications. In addition, they are classified according to the type of fuzzy logic used into four categories. We present this review to show the current status in this field. We used Scopus and Google Scholar databases as the basis for presenting this review. The number of publications, number of citations, and other information are discussed to show the achievements in this field. The related research is examined, compared, and classified, focusing on the advantages, challenges, and future research areas.