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1703375PublishedVol 5 · Issue 10

AI-Enabled Wearable Technology in Healthcare: Advancements, Challenges, and Future Directions

Fnu Zartashea

Subject area: Science,Engineering and Technology  ·  Area of research: Artificial Intelligence

Abstract

The research examines AI-powered wearable technology in healthcare across current developments and obstacles and prospective paths needed. The healthcare industry experienced a revolution thanks to wearable devices that connect artificial intelligence systems. These devices enable continuous patient surveillance and improve disease prevention schemes and therapeutic outcomes. Advances in wearable sensor development working with AI algorithms have significantly improved their capability to monitor vital signs which leads to real-time health predictions. The technology faces three notable difficulties which involve data security risks along with performance constraints and regulatory requirements. Healthcare wearables have extensive potential to enhance both clinical results and healthcare spending with the incorporation of AI technologies despite existing problems. The advancement of predictive abilities in AI models and regulatory framework alignment for broader adoption remains the focus of future work, along with the refinement of data security techniques. Hospital-quality wearable devices contribute fundamentally to personal healthcare services by providing immediate feedback that helps patients reach superior disease management outcomes.

Keywords

AI Wearables, Healthcare Monitoring, Chronic Diseases, Predictive Analytics, Data Privacy, Patient Engagement

How to cite this paper

Fnu Zartashea "AI-Enabled Wearable Technology in Healthcare: Advancements, Challenges, and Future Directions" Iconic Research And Engineering Journals Volume 5 Issue 10 2022 Page 342-353
Fnu Zartashea "AI-Enabled Wearable Technology in Healthcare: Advancements, Challenges, and Future Directions" Iconic Research And Engineering Journals, vol. 5, no. 10, Apr. 2022
Fnu Zartashea (2022). AI-Enabled Wearable Technology in Healthcare: Advancements, Challenges, and Future Directions. Iconic Research And Engineering Journals, 5(10).
Fnu Zartashea "AI-Enabled Wearable Technology in Healthcare: Advancements, Challenges, and Future Directions" Iconic Research And Engineering Journals, vol. 5, no. 10, Apr. 2022.
@article{1703375,
      author = {Fnu Zartashea},
      title = {AI-Enabled Wearable Technology in Healthcare: Advancements, Challenges, and Future Directions},
      journal = {Iconic Research And Engineering Journals},
      year = {2022},
      volume = {5},
      number = {10},
      pages = {342-353},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1703375.pdf},
      abstract = {The research examines AI-powered wearable technology in healthcare across current developments and obstacles and prospective paths needed. The healthcare industry experienced a revolution thanks to wearable devices that connect artificial intelligence systems. These devices enable continuous patient surveillance and improve disease prevention schemes and therapeutic outcomes. Advances in wearable sensor development working with AI algorithms have significantly improved their capability to monitor vital signs which leads to real-time health predictions. The technology faces three notable difficulties which involve data security risks along with performance constraints and regulatory requirements. Healthcare wearables have extensive potential to enhance both clinical results and healthcare spending with the incorporation of AI technologies despite existing problems. The advancement of predictive abilities in AI models and regulatory framework alignment for broader adoption remains the focus of future work, along with the refinement of data security techniques. Hospital-quality wearable devices contribute fundamentally to personal healthcare services by providing immediate feedback that helps patients reach superior disease management outcomes.},
      keywords = {AI Wearables, Healthcare Monitoring, Chronic Diseases, Predictive Analytics, Data Privacy, Patient Engagement},
      month = {April},
  }

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