Big Data Analytics Model Using Artificial Intelligence (AI) and 6G Technologies for Healthcare

Abstract

Artificial Intelligence (AI) and 6G technologies promise to revolutionize the healthcare domain by enhancing the accuracy and diagnosis the patient monitoring in a real-time environment. The integration of AI and 6G technologies holds substantial promise for transforming healthcare systems. AI's capabilities in complex data analysis, combined with the high speed and reliable 6G networks significantly improve the healthcare domain. However, the integration and application aspects of both technologies are still evolving. Thus, to fill this gap. Herein, we propose an advanced big data analytics model. Our proposed model has several phases, for instance, data collection, data selection and preprocessing, and analytical phase. Each phase has different functions applied to the preprocessed data and finally, the results are shown to the user. We have carried out several experiments and the network performance and efficiency are measured in terms of latency throughput and reliability (in terms of error rate). The achieved experimental result validate that the proposed model processed a large amount of data in a very short time. The reliability of the proposed model is better than earlier models and the execution time is efficient and also applicable in healthcare.