AI driven intelligent health management systems in telemedicine: An applied research study

Authors

  • Xiangang Wei Xi'an University of Architecture and Technology, Beilin, Xi'An, 710064, China Author
  • Katarzyna Pruś University of Edinburgh, South Bridge, Edinburgh, EH8 9YL, Uk Author
  • Rui Du United Kingdom, Strand, London, WC2R 2LS, Uk Author
  • Rahul Mehta University of Oxford, Oxford OX1 2JD, UK Author
  • Sifang Lin Peking Union Medical College, Beijing, 100006, China Author
  • Xu Zhu Raffles University, Johor Bahru, Johor Darul Ta'zim, 79250, Malaysia Author

DOI:

https://doi.org/10.63313/JCSFT.9017

Keywords:

Telemedicine system, artificial intelligence, decision support, health management, healthcare resource allocation

Abstract

The current imbalance in healthcare resource distribution urgently requires innovative solutions through telemedicine technology. This study designed a telemedicine health management system integrating AI technology, innovatively constructing three core functional modules: remote diagnosis and treatment, AI-assisted decision-making, and cross-regional collaboration. This enables multi-scenario applications including remote consultations, primary healthcare, and home monitoring. Employing a distributed microservices architecture alongside deep learning algorithms, the system delivers intelligent healthcare services. It has significantly enhanced medical accessibility and diagnostic quality, offering novel insights for advancing telemedicine development.

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Published

2025-10-27

Issue

Vol. 1 No. 2 (2025)

Section

Articles

License

Copyright (c) 2025 by author(s) and Erytis Publishing Limited.

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

How to Cite

AI driven intelligent health management systems in telemedicine: An applied research study. (2025). Journal of Computer Science and Frontier Technologies, 1(2), 78-86. https://doi.org/10.63313/JCSFT.9017
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