Transforming Healthcare: The Convergence of Generative AI and Cloud Technologies
DOI:
https://doi.org/10.32628/CSEIT251112127Keywords:
Generative Artificial Intelligence, Cloud Computing Healthcare, Personalized Medicine, Healthcare Data Privacy, Clinical Decision Support SystemsAbstract
The convergence of generative AI and cloud computing is reshaping the healthcare landscape, presenting unprecedented opportunities for innovation and advancement across multiple domains. This comprehensive article explores the transformative potential of these technologies, examining their applications in personalized medicine, clinical decision support, medical imaging, and healthcare operations. The article delves into critical research areas, including privacy-preserving AI frameworks, edge computing integration, and interoperability solutions that enable seamless data exchange across healthcare systems. Special attention is given to emerging capabilities in emergency response, population health management, and patient engagement, alongside cost optimization and quality improvement considerations. Through analysis of current implementations and future directions, this article identifies key technical challenges, ethical considerations, and success factors that will shape the evolution of AI-powered healthcare solutions. This article emphasizes the importance of cross-disciplinary collaboration, robust governance frameworks, and sustainable infrastructure development in realizing the full potential of these technologies. This article contributes to the growing body of knowledge on AI applications in healthcare while highlighting pathways for responsible innovation that prioritize patient outcomes, privacy, and healthcare system efficiency.
Downloads
References
Wagobera Edgar Kedi et al., "Cloud computing in healthcare: A comprehensive review of data storage and analysis solutions," World Journal of Advanced Engineering Technology and Sciences, 19 July 2024. [Online]. Available: https://wjaets.com/sites/default/files/WJAETS-2024-0291.pdf
Donal J. Sexton MD, PhD, and Conor Judge MB, PhD, "Assessments of Generative Artificial Intelligence as Clinical Decision Support Ought to be Incorporated Into Randomized Controlled Trials of Electronic Alerts for Acute Kidney Injury," ScienceDirect, vol. 4, no. 4, December 2024. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2949761224001019
Xinyi Yang, "The applications of artificial intelligence in personalized medicine," ResearchGate, August 2024. [Online]. Available: https://www.researchgate.net/publication/383481120_The_applications_of_artificial_intelligence_in_personalized_medicine
Decheng Huang et al., "AI-Driven drug discovery: Accelerating the development of novel therapeutics in biopharmaceuticals," ResearchGate, August 2024. [Online]. Available: https://www.researchgate.net/publication/383363903_AI-Driven_drug_discovery_Accelerating_the_development_of_novel_therapeutics_in_biopharmaceuticals
Stuti M. Tanya MD et al., "Development of a Cloud-Based Clinical Decision Support System for Ophthalmology Triage Using Decision Tree Artificial Intelligence," ScienceDirect, vol. 3, no. 1, March 2023. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2666914522001208
Aman Bhardwaj, "Healthcare Predictive Analytics using Data Science Techniques," International Journal of Research Publication and Reviews, vol. 4, no. 12, December 2023. [Online]. Available: https://ijrpr.com/uploads/V4ISSUE12/IJRPR20467.pdf
Tanmai Sree Musalamadugu and Kannan Hemachandran, "Generative AI for medical imaging analysis and applications," ResearchGate, September 2023. [Online]. Available: https://www.researchgate.net/publication/373725534_Generative_AI_for_medical_imaging_analysis_and_applications
Adekunle Megbuwawon, "AI-Enhanced Medical Imaging: Transforming Diagnosis Through Process Analysis," International Journal of Research Publication and Reviews, vol. 5, no. 10, October 2024. [Online]. Available: https://ijrpr.com/uploads/V5ISSUE10/IJRPR34203.pdf
Junaid Bajwa et al., "Artificial intelligence in healthcare: transforming the practice of medicine," National Library of Medicine, vol. 8, no. 2, July 2021. [Online]. Available: https://pmc.ncbi.nlm.nih.gov/articles/PMC8285156/
Neil Chatterjee et al., "A Cloud-Based System for Automated AI Image Analysis and Reporting," Springer Nature Link, 31 July 2024. [Online]. Available: https://link.springer.com/article/10.1007/s10278-024-01200-z
Sarthak Pati et al., "Privacy preservation for federated learning in health care," ScienceDirect, vol. 5, no. 7, 12 July 2024. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2666389924000825
Arun Kumar Ramachandran Sumangala Devi, "Security and Compliance in Healthcare Analytics using AI," International Journal of Science and Research, 2022. [Online]. Available: https://www.ijsr.net/archive/v13i11/SR241104082852.pdf
Gakire Munyaneza, "The Role of AI in Enhancing Emergency Medical Services," ResearchGate, October 2024. [Online]. Available: https://www.researchgate.net/publication/385103822_The_Role_of_AI_in_Enhancing_Emergency_Medical_Services
Arindam Banerjee et al., "Design of a cloud based emergency healthcare service model," ResearchGate, January 2013. [Online]. Available: https://www.researchgate.net/publication/289395860_Design_of_a_cloud_based_emergency_healthcare_service_model
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Scientific Research in Computer Science, Engineering and Information Technology

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