Abstract

Artificial Intelligence (AI) combined with wearable technology is transforming the way modern healthcare operates. Instead of doctors only acting when problems occur, AI helps them intervene earlier, putting the patient at the center of care. Wearables such as fitness trackers, smartwatches, and other health devices that use AI constantly monitor health, detect possible issues, and provide early alerts. These devices use real-time data from the body and machine learning to help man- age ongoing health conditions, respond faster to health concerns, and assist in assessing mental well-being. The growth of the Internet of Medical Things (IMT) enhances this process, making it easier to share health in- formation and care for patients remotely. Recent studies have shown that the AI used in these wearables is both accurate and reliable. These findings highlight how AI can help create personalized treatment plans and enhance overall health outcomes. However, there are still challenges in widely using AI-driven wearables. Issues like protecting health data, ethical concerns, and integrating these tools into current healthcare systems must be overcome. Addressing these challenges is vital for building trust and ensuring these tools are effective in the long term. Research emphasizes the importance of thorough testing, secure data handling, and designing wearables with the user in mind to fully realize the potential of AI in healthcare. As AI becomes more integrated into medical care, these smart devices are ready to change how health is diagnosed, increase patient involvement, and reshape the delivery of healthcare.

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