Addressing the IoT Schemes for Securing the Modern Healthcare Systems with Block chain Neural Networks

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Published: Jul 13, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i7s.7009
Keywords:
Internet of Things(IoT), biomedical hardware, Artificial Intelligence, wearable technologies, medical systems

Main Article Content

Chinnala Balakrishna
Associate Professor, CSE Department, Guru Nanak Institute of Technology (A), Hyderabad
Ashwini Sapkal
Associate Professor, IT Department, Army Institute of Technology, Pune
B.V. Chowdary
Professor, Dept of CSE, Vignan Institute of Technology and Science, Hyderabad
P. Rajyalakshmi
Asst.Professor, Dept of CSE, TKR College of Engineering and Technology, Hyderabad
Varkala Satheesh Kumar
Asst. Professor, CSE Department, Sreenidhi Institute of Science and Technology, Hyderabad
K Gurnadha Gupta
Assistant Professor, Department of CSE, Koneru Lakshmaiah Education Foundation,K L Deemed To Be University, Vaddeswaram, AP, India

Abstract

This paper provides a wide-range of literature review of various IOT with AI based enabling wearable technologies and protocols used for medical (IoT) with a taught of examining the present and future smart health care technologies. Despite recent advances in medical systems, biomedical hardware, the growth of IoT in medicine continues to advance in terms of biomedical hardware, monitoring figures like cancer patient data disease indicators, temperature levels, oxygen levels, and glucose levels. In the near future, medical IoT is expected to replace the old traditional healthcare systems to smart Ai-IoT based healthcare systems. In our paper we provided a theoretical approach of the most relevant protocols and wearable technologies used for the IoT health care medical systems. We also provided a proposed smart AI based intelligent IoT frameworks for hospital systems settings.

Article Details

How to Cite
Balakrishna, C. ., Sapkal, A. ., Chowdary, B., Rajyalakshmi, P., Kumar, V. S. ., & Gupta, K. G. . (2023). Addressing the IoT Schemes for Securing the Modern Healthcare Systems with Block chain Neural Networks. International Journal on Recent and Innovation Trends in Computing and Communication, 11(7s), 347–352. https://doi.org/10.17762/ijritcc.v11i7s.7009
Issue
Vol. 11 No. 7s (2023)
Section
Articles

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