Research Article

The Future of Personalized Healthcare: AI-Driven Wearables For Real-Time Health Monitoring And Predictive Analytics

Abstract

Backgrounds Wearable health technology has revolutionized health monitoring and management by enabling continuous tracking of vital signs, physical activity, and other health parameters. However, traditional wearables rely on simple algorithms and user input, limiting their capacity to provide comprehensive health insights. Integrating artificial intelligence (AI) into wearable health devices promises to enhance personalized healthcare by enabling real-time data analysis and early detection of health issues. Methods This study conducted a systematic literature review spanning five years (2018-2023) using PubMed, IEEE Xplore, ACM Digital Library, Scopus, and Web of Science. The review focused on peer-reviewed journals, conference proceedings, and patents discussing AI integration in wearable health devices for health-related applications. Inclusion criteria included articles in English published between 2018 and 2023. Studies not focused on wearable AI applications or lacking original research were excluded. Two researchers independently screened the literature to ensure reliability. Results AI-powered wearables demonstrate significant advancements in processing complex sensor data and improving decision-making capabilities. Applications range across various healthcare domains, including cardiac monitoring, diabetes management, cancer monitoring, and early detection of infectious diseases. Algorithms such as gradient boosting trees and support vector machines have been effective in identifying health anomalies. AI-powered wearables offer benefits such as continuous monitoring, improved diagnostic accuracy, personalized healthcare, and remote patient monitoring. However, challenges related to data privacy, the need for large datasets, and ensuring clinical reliability persist. Conclusion AI-powered wearables hold immense potential to enhance healthcare delivery and patient outcomes by enabling continuous health monitoring and early detection of health abnormalities. However, addressing data privacy, algorithmic bias, and the need for comprehensive datasets is crucial. Future research should focus on developing energy-efficient algorithms and ensuring seamless integration with existing healthcare systems. Multidisciplinary collaboration and clear regulatory guidelines are essential for the ethical and effective deployment of AI-powered wearables in healthcare.