Cyber-Physical System based Next-Generation Framework for AI-Driven Disease Diagnosis in IoT-Enabled Smart Healthcare Systems

Authors

  • V. S. Jeevetha,B. Jayanthi Author

DOI:

https://doi.org/10.48047/wns68759

Keywords:

Cyber-Physical System, Next-Generation Framework, Disease Diagnosis, Smart Healthcare Systems

Abstract

Innovative healthcare solutions have been become feasible through the fast growth of technology, especially with the integration of Artificial Intelligence (AI) and the Internet of Things (IoT). This research introduces a next-generation paradigm for improving disease diagnostics in smart healthcare systems enabled by the Internet of Things (IoT), which is built on Cyber-Physical Systems (CPS). The suggested system allows for predictive analytics and real-time health monitoring through analyzing data acquired 
from a network of linked medical devices and sensors using smart machine learning algorithms.

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References

Usmani, U. A., Sulaiman, S., & Watada, J. (2024, August). Intelligent Integration of IoT and Cyber-Physical Systems: Empowering the Next Generation of AI-Enabled Smart Environments. In 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA) (pp. 1-9). IEEE.

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Published

2025-02-03

How to Cite

Cyber-Physical System based Next-Generation Framework for AI-Driven Disease Diagnosis in IoT-Enabled Smart Healthcare Systems (V. S. Jeevetha,B. Jayanthi , Trans.). (2025). Cuestiones De Fisioterapia, 54(3), 1471-1497. https://doi.org/10.48047/wns68759