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The Role of Wearable Devices in Chronic Disease Management: A Review of Current AI and ML Applications and Future Directions

Author(s) Kiran Veernapu
Country United States
Abstract Chronic diseases like diabetes, high blood pressure, heart issues, and breathing problems are some of the leading causes of morbidity and mortality around the world. Managing these diseases usually requires regular check-ups, changes in lifestyle, and sticking to medications. Recent developments in wearable technology have opened up new ways to better manage these diseases, improve patient results, and make healthcare more efficient. When these devices are used with Artificial Intelligence (AI) and Machine Learning (ML), offer unprecedented opportunities to monitor, predict, and manage chronic diseases in real-time. This review explores at how wearable devices are currently used in managing chronic conditions, their benefits and limitations, and possible future developments in this rapidly evolving subject. It looks at the key roles that wearable devices have in managing diabetes, heart diseases, breathing issues, and mental health problems. It also discusses how AI and ML are applied in wearable devices for managing chronic diseases, the challenges these technologies face, and where they might head in the future. Lastly, the paper considers what the future may hold for wearable technologies, such as predictive healthcare, personalized medicine, and managing multiple diseases, and the challenges that need to be addressed for broader use.
Keywords Wearable devices, chronic disease management, Artificial Intelligence, Machine Learning, predictive analytics, remote monitoring, personalized treatment, multimorbidity, precision medicine
Field Engineering
Published In Volume 5, Issue 4, April 2024
Published On 2024-04-03
Cite This The Role of Wearable Devices in Chronic Disease Management: A Review of Current AI and ML Applications and Future Directions - Kiran Veernapu - IJLRP Volume 5, Issue 4, April 2024. DOI 10.5281/zenodo.14880765
DOI https://doi.org/10.5281/zenodo.14880765
Short DOI https://doi.org/g849tz
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