ChatGPT, Machine Learning, and Cloud AI Technologies for Smarter Healthcare and Enhanced Cybersecurity

Authors

  • Bimalendu Pendy Independent Researcher, 39900 Blacow Road, Apt #58, Fremont, CA, 94538 Author

DOI:

https://doi.org/10.70445/gjcsai.1.3.2025.22-41

Keywords:

ChatGPT, Machine Learning, Cloud Computing, Healthcare AI, Cybersecurity, Data Privacy, Digital Health.

Abstract

This review discusses how ChatGPT, Machine Learning (ML), and Cloud AI technologies can be integrated in changing the current state of healthcare and improving cybersecurity. It points out the ways these innovations make it possible to detect diseases early, predictively, and intelligently engage patients, and manage data securely. ChatGPT promotes communication and access, ML contributes to the accuracy of diagnosis, and cloud computing offers scalable and interoperable infrastructure. Ethical, regulatory, and cybersecurity challenges are also discussed, and the importance of privacy-preserving solutions, including searchable encryption and federated learning, is highlighted. These technologies combined create a cohesive, smart, and safe healthcare ecosystem that will encourage efficiency, personalization, and patient confidence during the digital age.

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Published

2025-03-10