Hybrid Cloud-AI Model using Oracle, Convolutional Neural Networks, and Large Language Models for Automated Healthcare Application
DOI:
https://doi.org/10.15662/IJEETR.2025.0706005Keywords:
Hybrid Cloud, Artificial Intelligence, Oracle Cloud, Convolutional Neural Networks, Large Language Models, Healthcare Automation, Predictive Analytics, Intelligent Decision SupportAbstract
The integration of Cloud Computing and Artificial Intelligence (AI) has transformed the healthcare landscape by enabling automation, scalability, and intelligent decision support. This paper proposes a Hybrid Cloud-AI model that leverages Oracle Cloud Infrastructure (OCI), Convolutional Neural Networks (CNNs), and Large Language Models (LLMs) to create an automated and intelligent healthcare ecosystem. The architecture combines CNNs for medical image analysis and pattern recognition with LLMs for natural language processing of clinical reports, patient records, and diagnostic summaries. Oracle’s robust data management and AI services provide a secure, scalable platform for real-time analytics, data interoperability, and compliance with healthcare data standards such as HIPAA. The hybrid model supports applications like disease detection, patient monitoring, treatment prediction, and intelligent documentation generation. Experimental results demonstrate significant improvements in diagnostic accuracy, response time, and automated decision-making efficiency. This study highlights how integrating CNN and LLM technologies within an Oracle-powered hybrid cloud can revolutionize intelligent automation in modern healthcare systems.
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