Oracle-Powered Cloud and CNN-Based AI Model for Intelligent Decision Support in Healthcare and Financial Applications
DOI:
https://doi.org/10.15662/IJRAI.2025.0806012Keywords:
Oracle Cloud, Convolutional Neural Networks, Artificial Intelligence, Healthcare Analytics, Financial Applications, Predictive Modeling, Intelligent Decision SupportAbstract
The convergence of Artificial Intelligence (AI), Cloud Computing, and Oracle-based analytics has opened new frontiers for intelligent decision-making across critical sectors such as healthcare and finance. This study proposes an Oracle-powered cloud framework integrated with Convolutional Neural Networks (CNNs) to enable real-time, data-driven insights for healthcare and financial applications. The model leverages the scalability and reliability of Oracle Cloud Infrastructure (OCI) to handle large, heterogeneous datasets, while CNN algorithms enhance pattern recognition, predictive accuracy, and anomaly detection. In healthcare, the system supports medical image analysis, early disease detection, and patient outcome prediction. In banking, it aids in fraud detection, credit scoring, and market trend forecasting. The integration of Oracle’s AI and ML tools ensures robust data security, efficient model deployment, and compliance with industry standards. Experimental evaluation demonstrates that the proposed CNN-based architecture significantly improves decision accuracy, operational efficiency, and system reliability within both domains, making it a viable solution for next-generation intelligent ecosystems.
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