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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: October 2025
Volume 10 | Issue 10
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Impact Factor : 8.14
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| Paper Title: | An AI-Augmented Advanced Healthcare System Utilizing 5G Networks |
| Authors Name: | Sahil Rangra , Prateek Yadav , Nikhil Kadam , Rahul , Dr.Gobi Natesan |
| Download E-Certificate: | Download |
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IJRTI_202470
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| Published Paper Id: | IJRTI2504225 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | ABSTRACT Due to the growth in technology’s ,it positively impacted multiple areas including health sectors. One of the greatest interesting technological breakthroughs is the implementation of 5G networks that can communicate at high speeds and with minimal latency. Associated to this, AI has emerged as a powerful data analysis & decision-making tool. In this article we are going to investigates how 5G & AI are used in intelligent public health care systems. 5G green networks must conquer a number of problems in order to meet the demands for greater user capability, quicker transmission rate, lower prices, & reduced assets consumption. By implementing 5G measures, data transfer speed & device durability for applications related to Industry 4.0 can be greatly boosted. The study also discusses high-tech security & fewer inauthentic assaults from diverse platforms. An recapitulation of potential new technologies & security enhancements was offered to protect 5G-build health care networks. In this survey paper we discusses numerous analysis concerns & possible future strategies for safe 5G-build intelligent medical care. In this article it delves into Industry 4.0, 5G norms, & recent developments in futurity wire less networking to address latest research studies about 5G innovations. The study also suggests a new architecture for Industry 4.0 & 5G-authorized digital health care organisations. Our solution outperforms existing techniques by an average of 25%. In addition, we see a 20% depletion in processing expenses, to make it highly effective solution for real-life problems. These detections demonstrate the actual significance of our study & open the door for more advanced medical implementation in 5G connectivity. |
| Keywords: | Artificial Intelligence (AI), 5G Networks, Intelligent Healthcare Systems, Industry 4.0, Low Latency Communication, Edge Computing , Smart Cities |
| Cite Article: | "An AI-Augmented Advanced Healthcare System Utilizing 5G Networks", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c10-c25, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504225.pdf |
| Downloads: | 000285 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504225
Registration ID:202470
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: c10-c25 Country: Bangalore, Karnataka, India Research Area: Master of Computer Application Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504225 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504225 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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