Intelligent AI-Driven Cloud Frameworks for Cancer Detection and Secure Healthcare Data Transformation
DOI:
https://doi.org/10.15662/IJARCST.2025.0805033Keywords:
Artificial Intelligence, Cloud Computing, Cancer Detection, Healthcare Data Security, Machine Learning, Deep Learning, Blockchain, Data Privacy, Medical Imaging, Predictive AnalyticsAbstract
The integration of artificial intelligence (AI) and cloud computing has significantly transformed healthcare systems, particularly in cancer detection and data management. This study proposes an intelligent AI-driven cloud framework designed to enhance early cancer detection while ensuring secure and efficient healthcare data transformation. The framework leverages machine learning and deep learning algorithms for accurate diagnosis using medical imaging and patient data, combined with scalable cloud infrastructure for real-time processing and storage. Security is addressed through advanced encryption techniques, access control mechanisms, and blockchain-based auditing to ensure data integrity and privacy compliance. The proposed system enables seamless data sharing among healthcare providers while maintaining strict confidentiality standards. Furthermore, the framework supports interoperability across different healthcare systems, facilitating collaborative diagnostics and treatment planning. Experimental evaluations demonstrate improved detection accuracy, reduced latency, and enhanced data security compared to traditional systems. This research highlights the potential of AI-powered cloud solutions in revolutionizing cancer diagnostics and secure healthcare data management, paving the way for more efficient, accessible, and reliable medical services.
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