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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM46083
Volume:
9 |
4 |
Apr 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The integration of artificial intelligence (AI) into healthcare and performance optimization is revolutionizing how individuals manage their health, wellness, and productivity. AI-powered personalization systems leverage vast amounts of data from various sources—such as wearable devices, genetic information, environmental factors, and behavioral patterns—to create highly individualized recommendations for improving both physical and cognitive performance. These systems utilize advanced machine learning algorithms to analyze real-time data, predict outcomes, and provide actionable insights, enabling users to make informed decisions regarding their exercise, nutrition, sleep, and mental well-being. By tailoring interventions to the unique needs of each individual, AI-driven personalization not only promotes optimal health outcomes but also enhances overall performance in diverse settings, from athletic training to workplace productivity. This paper explores the potential of AI-powered personalization in transforming health and performance optimization, addressing the challenges and ethical considerations involved, and proposing a framework for its future development and widespread adoption.
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Publication Date
1/4/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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