Privacy-Preserving Predictive Intelligence Framework for Healthcare and Financial Systems Using Cyber Data Vaults

Vaani Akshay Deshmukh Tarun

doi:10.15662/IJRAI.2025.0806005

Authors

Vaani Akshay Deshmukh Tarun Independent Researcher, Canada Author

DOI:

https://doi.org/10.15662/IJRAI.2025.0806005

Keywords:

Artificial Intelligence (AI), Life Expectancy Prediction, Federated Learning, Oracle Cloud, Privacy-Preserving Medical AI, AI in Digital Payments, Incident Forecasting, Secure Data Sharing, Healthcare Analytics, Predictive Intelligence Systems, AI-Enhanced Financial Systems, Medical Diagnosis Automation, Cloud-Based AI Infrastructure

Abstract

This research presents a comprehensive AI-powered architecture that integrates life expectancy prediction, federated medical diagnosis, digital payment processing, and incident forecasting into a unified Oracle Cloud-based ecosystem. The framework leverages federated learning to ensure privacy-preserving data collaboration across medical institutions without centralized data storage, supporting ethical and secure AI in healthcare. Simultaneously, life expectancy models powered by deep learning enhance clinical decision-making and insurance risk analysis. In financial contexts, AI-enhanced digital payment systems enable secure and intelligent transactions, while AI-driven incident forecasting models proactively detect anomalies in both health and financial infrastructures. Built on Oracle Cloud’s scalable infrastructure, the system ensures security, interpretability, and compliance, forming a resilient AI ecosystem for next-generation digital services.

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