Implications of 5G Network on IoT-based Healthcare Systems Using Deep Learning: A Comprehensive Review

Abstract

Abstract A global patient-oriented approach quickly replaces the traditionally specialized healthcare model in smart health care. Several technological breakthroughs have facilitated this tremendous transition in healthcare. Presently, innovative healthcare programs use 4G communication protocols in the field. Intelligent connected healthcare systems must incorporate these methods and technologies to thrive. As the healthcare sector expands, different applications are anticipated to generate large quantities of information in different configurations and quantities. Due to end-to-end interruption, frequency, congestion, and other characteristics of these vast and varied data streams, they require specific supervision. Future health care applications will need to be very flexible and responsive within a sensitive time frame, which presents a challenge for today's communication systems. Deep learning models might be interpreted in this context as among the principal resources available to supervise data and generate conclusions. The 5G and DL approach convergence are promising because these methods can obtain pertinent features from unstructured data. Consequently, the distinct communication requirements of electronic health records in the Internet of Things are primarily addressed via the development and creation of 5G networks. IoT network connectivity approaches to address issues with interoperability, energy consumption, device complexity, and reliability while accommodating many devices. This paper contributes to an analysis of IoT-based 5G facilitated intelligent healthcare solutions and services. By organizing and evaluating existing literature, the paper provides a paradigm for efficient health care in 5G. Most of the necessary conditions are outlined for effectively implementing intelligent healthcare systems in specific 5G circumstances. Finally, the number of unresolved problems and research impasses in 5G healthcare monitoring in IoT solutions are discussed.