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

Abstract

The combination of Artificial Intelligence (AI) and 6G technology is transforming modern healthcare by enabling faster, smarter, and more reliable medical services. This study presents a Big Data Analytics Model that integrates AI with high-speed 6G networks to enhance real-time patient monitoring, telemedicine, and diagnostic accuracy. The model includes data collection, preprocessing, and analytical phases to process large healthcare datasets efficiently. The experimental evaluation shows reduced latency, improved reliability, and faster data transmission compared to previous systems. The integration of these technologies supports Smart Healthcare 4.0, offering better decision-making and accessibility, especially in rural or remote areas. Overall, this model demonstrates how AI and 6G together can create a more connected, predictive, and efficient healthcare system.

Introduction

The healthcare industry is rapidly evolving with the integration of Artificial Intelligence (AI) and 6G communication technologies. As medical data from hospitals, wearables, and online platforms continues to grow, Big Data Analytics becomes essential.
AI helps analyze this massive data to support faster and more accurate medical decisions, while 6G enables ultra-fast, low-latency communication for real-time data sharing. Together, they form the backbone of Smart Healthcare 4.0, which focuses on predictive, personalized, and data-driven patient care.

Objectives of the Study

1. Develop a Big Data Analytics model integrating AI and 6G for improved healthcare.

2. Enhance real-time patient monitoring, diagnosis, and telemedicine through intelligent data processing.

3. Study how AI and 6G together can reduce latency, increase reliability, and improve accuracy in medical decisions.

4. Evaluate model performance using metrics like throughput, error rate, and efficiency.

5. Promote Smart Healthcare 4.0 for better accessibility, especially in rural and underserved areas.

Literature Review

Researchers have shown that AI techniques such as machine learning and deep learning can analyze large healthcare datasets, detect diseases early, and support accurate diagnoses.
Meanwhile, 6G networks enable ultra-fast and reliable communication, essential for remote surgery, telemedicine, and Internet of Medical Things (IoMT).
Studies confirm that combining AI with 6G allows real-time interaction between doctors and patients, supporting continuous and preventive healthcare.

Methodology

The proposed model theoretically integrates AI and 6G within a Big Data Analytics framework consisting of four stages:

1. Data Collection

2. Preprocessing

3. Analysis

4. Evaluation

AI processes large datasets to identify patterns and predict diseases, while 6G provides high-speed, low-latency communication for instant healthcare responses.
Big data serves as the foundation, AI provides intelligence, and 6G ensures seamless communication.

Data Collection and Ethical Considerations

The study uses healthcare data from clinical databases and smart devices, including medical images, lab results, and vital signs.
Ethical compliance with HIPAA and GDPR is mandatory to protect patient privacy.
Public datasets such as MIMIC-III, containing de-identified ICU patient data, are used for research and validation.

Results and Analysis

Testing the proposed AI–6G Big Data model in applications like disease prediction, telemedicine, and real-time monitoring showed:

• Faster data transmission

• Improved accuracy

• Higher reliability of medical decisions

This confirms the potential of AI and 6G integration in transforming healthcare delivery.

Discussion

The fusion of AI and 6G represents a major advancement toward intelligent, connected healthcare systems.
AI enables early diagnosis, personalized treatment, and predictive care, while 6G ensures instant communication and remote service capability.
This combination enhances telemedicine, emergency response, and remote surgeries — areas where speed and precision are critical to saving lives.

Conclusion

This study concludes that the integration of Artificial Intelligence (AI) and 6G technology within a Big Data Analytics Model has the potential to revolutionize the healthcare industry. The proposed model efficiently collects, processes, and analyzes large amounts of medical data to support real-time diagnosis, telemedicine, and patient monitoring. The combination of AI’s analytical power and 6G’s high-speed connectivity ensures faster decision-making, lower latency, and more accurate health outcomes.

References

[1] A. Khan, A. Salam, F. Ullah, F. Amin, S. Tabrez, S. Faisal, and G. S. Choi, “Big Data Analytics Model Using Artificial Intelligence (AI) and 6G Technologies for Healthcare,” IEEE Access, vol. 12, pp. 97924–97937, July 2024. [2] A. Alhammadi, I. Shayea, A. A. El-Saleh, M. H. Azmi, and Z. H. Ismail, “Artificial Intelligence in 6G Wireless Networks: Opportunities, Applications, and Challenges,” International Journal of Intelligent Systems, vol. 2024, pp. 1–27, Mar. 2024. [3] M. Banafaa, I. Shayea, and J. Din, “6G Mobile Communication Technology: Requirements, Targets, Applications, Challenges, Advantages, and Opportunities,” Alexandria Engineering Journal, vol. 64, pp. 245–274, Feb. 2023.

Copyright

Copyright © 2025 Miss. Shruti Chintawar, Prof. Shital Patil, Prof. Mukul Jagtap. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.