The Role of AI and Machine Learning in Wearable Technology: A Comprehensive Analysis of Future Healthcare Innovations
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Analysis Study Research Paper | Information Technology | United States of America | Volume 13 Issue 7, July 2024 | Popularity: 5.3 / 10


     

The Role of AI and Machine Learning in Wearable Technology: A Comprehensive Analysis of Future Healthcare Innovations

Umamaheswara Reddy Kudumula


Abstract: Transformative wearables are revolutionizing healthcare by enhancing patient outcomes and optimizing healthcare services efficiency. Powered by AI and ML, these devices monitor vital signs, track medication adherence, and offer personalized coaching. The global market for wearable medical devices is projected to reach 87.77 billion by 2027, driven by rapid advancements in AIML technology. Remote monitoring using these wearables has significantly reduced mortality rates and hospital admissions. AIML algorithms in wearables deliver accurate diagnoses, improve treatment plans, and mitigate adverse events. Personalized treatment plans generated by AIML reduce emergency visits and readmissions, resulting in substantial cost savings. These advancements in wearable technology are poised to reshape healthcare, making it more efficient, personalized, and effective. Remote patient monitoring using these AI/ML - enhanced wearables has demonstrated significant potential in reducing mortality rates and hospital admissions. A study published in the European Journal of Heart Failure revealed that the use of wearable devices for remote monitoring of chronic heart failure patients resulted in a 35% reduction in mortality rates and a 40% decrease in hospital admissions. Furthermore, AI/ML algorithms in wearables can synthesize data from various sources to deliver more accurate diagnoses, improve treatment plans, and mitigate the risk of adverse events. For instance, wearables that assess gait, balance, and mobility can assist in diagnosing Parkinson's disease and multiple sclerosis. Personalized treatment plans generated by AI/ML algorithms not only enhance patient outcomes but also reduce the frequency of emergency department visits and hospital [2] readmissions, leading to substantial cost savings for both patients and healthcare providers. These transformative wearables are poised to reshape the future of healthcare, making it more efficient, personalized, and effective.


Keywords: Wearable devices, Artificial Intelligence, Machine Learning, Remote Monitoring, Personalized Treatment Plans


Edition: Volume 13 Issue 7, July 2024


Pages: 1229 - 1232


DOI: https://www.doi.org/10.21275/SR24725101600



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Umamaheswara Reddy Kudumula, "The Role of AI and Machine Learning in Wearable Technology: A Comprehensive Analysis of Future Healthcare Innovations", International Journal of Science and Research (IJSR), Volume 13 Issue 7, July 2024, pp. 1229-1232, https://www.ijsr.net/getabstract.php?paperid=SR24725101600, DOI: https://www.doi.org/10.21275/SR24725101600

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