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篇名
Non-Invasive Glucose Monitoring Using Ultrasound and AI: A Comprehensive Review
並列篇名
Non-Invasive Glucose Monitoring Using Ultrasound and AI: A Comprehensive Review
英文摘要
Diabetes poses a major global health burden, necessitating accurate and continuous blood glucose monitoring to prevent severe complications. Non-invasive glucose monitoring technologies have emerged as promising alternatives, offering improved patient comfort, convenience, and compliance compared to conventional invasive methods. This paper provides a comprehensive review of recent advances in non-invasive glucose sensing, with a particular focus on ultrasound-based measurement techniques. The role of ultrasonic waves, alongside amplitude-modulated ultrasound, bioimpedance spectroscopy, and optical methods, is explored in depth, highlighting both their potential and current limitations. While these technologies demonstrate encouraging progress, further research is essential to enhance measurement accuracy, clinical applicability, and adaptation to diverse patient populations. The integration of artificial intelligence and data analytics is also discussed, emphasizing their role in personalized glucose management and predictive modeling. Additionally, this review addresses critical regulatory considerations, commercial viability, and healthcare system integration challenges for broader clinical adoption. Despite existing challenges, non-invasive glucose monitoring technol¬ogies hold significant promise to revolutionize diabetes care, improve clinical outcomes, and enhance the overall quality of life for individuals living with diabetes.
起訖頁 21-38
關鍵詞 Non-invasive glucose monitoringultrasound sensingartificial intelligencebioimpedanceoptical techniquesdiabetes care
刊名 創新科技期刊  
期數 202603 (8:1期)
出版單位 國立雲林科技大學
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