Internet of things and artificial intelligence in biomedical systems

ABSTRACT

The Internet of Things is the emanating modernist communication paradigm that has evolved to fasten itself with various technologies by providing real-time measurements and observations of the environment, physiological and psychological parameters, the physical world itself. It facilitates various applications to serve humankind. Artificial Intelligence is the vastly applied machine intelligence that can trigger and empower an IoT device. The learning methods of AI with respect to an IoT application result in a prodigious device. Among many colossal applications, the functional biomedical application is widely researched and has already been developed. Motivated by this amalgamation's come-out, this chapter focuses on IoT and its transformation of the biomedical industry by providing wearable technology, connected appliances/hospital machines, tracking biomedical performances, smart security systems, etc. Due to the body of the application, exploitation of private data, security breaching, power requirements, power consumption, and scalability are a few challenges that have been discussed. The outcome of this chapter is the pure integration of IoT and AI in biomedical systems. The structure of IoT and its union with AI along with the working model is discussed. Case studies and developments of IoT and AI in a biomedical application are highlighted. This chapter also provides the solution to many of the challenges listed above and throws light on implementing the solution as a possible research potential. The greatest challenge after World War II, i.e., COVID-19 pandemic and outstanding research that is currently serving many hospitals using AI as a tool for diagnosing and monitoring this global health crisis will be briefed. It can be interpreted after the global pandemic that AI and its blend with IoT-based approaches towards healthcare will change the world that it has been working and provide many logical solutions including remote health monitoring, disease prediction and diagnosis, and treatment. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.