Ai-Driven Personal Health Monitoring Tools Integrating Wearable Device Data

Authors

  • Dr. Abhijeetsinh Jadeja, Prof. (Dr.) Sailesh Suryanarayan Iyer, Dr. Jayashri Patil Author

Keywords:

artificial intelligence, wearable technologies, personal health monitoring, machine learning, digital health, predictive analysis, data processing.

Abstract

AI and wearable health technology developments have led to the next generation of customized health assessments. AI personal health technologies leverage data collection in real time via wearables to assess biological, behavioral, and environmental markers continuously. These developments offer early disease diagnostic capabilities, chronic illness remediations, and customized health feedback. This article delineates the current state of AI health monitoring systems through data collection, machine learning, and prediction systems. AI personal health technologies are game-changing but require ethical considerations for vetting before deployment, including data privacy and accuracy, processing and personalization bias, regulatory concerns, and future potential for personalized preventative precision medicine.

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Published

2025-11-27

How to Cite

Ai-Driven Personal Health Monitoring Tools Integrating Wearable Device Data. (2025). Vascular and Endovascular Review, 8(14s), 141-148. https://verjournal.com/index.php/ver/article/view/1062