Real-Time Monitoring of Patient Adherence Using AI

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Experimental validation shows AI-based adherence monitoring boosts compliance in chronic disease management, implying enhanced health outcomes.

AI-based adherence monitoring improved compliance rates by 6.1%–32.7%, addressing chronic disease management challenges.
The system achieved predictive accuracy of up to 97.7%, demonstrating its effectiveness compared to traditional methods.
Experimental validation involved real-world datasets, providing a robust analysis of the AI framework's capabilities.
The research highlights a shift to a dynamic adherence process, enhancing treatment outcomes and informing health policy.

Vijitha Uppuluri (2025) studied this question.

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Experimental validation shows AI-based adherence monitoring boosts compliance in chronic disease management, implying enhanced health outcomes.