A Hybrid AI-IoT Framework for Disease Detection and Intelligent Drug Delivery

This paper will discuss a hybrid system of Artificial Intelligence (AI) and the Internet of Things (IoT) used in detecting diseases and smartly delivering medications. The increased need in the personalized healthcare solutions has put the current technologies in perspective which are, in most cases, not integrated, scalable or able to provide decision making opportunities in real time. The proposed system incorporates IoT devices to monitor the health condition continuously, and AI algorithms to predict and diagnose the diseases based on real-time data. Furthermore, there is a smart drug delivery system that varies the amounts of medication according to the ongoing health measurement. The efficacy of the framework is judged on the basis of simulations and actual world data indicating its usefulness in enhancing diagnostic accuracy and in optimal drug delivery plans. The findings show that patient outcomes are significantly better with the use of novice methodology, in all aspects such as accuracy, response time and precision. The work is a contribution to the creation of smart healthcare solutions which may dynamically change according to the dynamically changing patient conditions.

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