Artificial Intelligence-Based Optimization Techniques for Smart Healthcare Systems

Abstract

This paper presents an advanced artificial intelligence framework designed to optimize smart healthcare systems through predictive analytics and intelligent decision-making models. The proposed methodology integrates machine learning algorithms with real-time medical data processing to enhance patient diagnosis, and resource allocation. Experimental results demonstrate significant improvements in system efficiency, diagnostic accuracy, and response time compared to healthcare management approaches. The study highlights the potential of AI-driven optimization techniques in transforming modern healthcare infrastructures.

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