Abstract

REVIEW ON ARTIFICIAL INTELLIGENCE FOR DIABETES MANAGEMENT

*Miss. Chaitali Balu Matte, Miss. Dipali Diwakar Daiwalkar, Miss. Madhuri G. Bhade, Prof. Jitesh V. Bhoyar, Dr. Rahul Bijwar

ABSTRACT

The combination of Artificial Intelligence with innovative imaging technology improves individual delicacy and equips healthcare professionals to make informed opinions. Despite significant progress in technology and medical wisdom, the assessment highlights implicit hurdles and restrictions in using machine literacy in diabetes examinations and treatment. This review article provides an in-depth analysis of the evolving landscape of Artificial Intelligence (AI) applications in the area of diabetes management. With the escalating global prevalence of diabetes, there is an increasing need for innovative and efficient solutions to enhance patient care, monitoring, and treatment outcomes. In addition to diagnosis and treatment, the review elucidates the role of Al in continuous glucose monitoring and feedback loops, showcasing how real-time data analysis can empower patients and healthcare providers alike. This comprehensive review synthesizes recent literature and explores the multifaceted roles that Al plays in diabetes management, encompassing diagnosis, prediction, personalized treatment plans, and continuous monitoring, and at last challenges and future direction.  

Keywords: Artificial Intelligence, Diabetes, Technology, Healthcare.