天美传媒

Abstract

This abstract highlights the transformative potential of artificial intelligence (AI) and machine learning (ML) technologies in diabetes prediction and prevention. With the global prevalence of diabetes on the rise, there is an urgent need for innovative approaches to identify individuals at risk and implement targeted preventive strategies. AI and ML algorithms offer the ability to analyze diverse datasets, including clinical parameters, genetic profiles, and lifestyle factors, to generate personalized risk predictions. By harnessing predictive analytics and personalized interventions, AI-driven systems enable early detection of diabetes risk and facilitate tailored prevention strategies. This abstract explores recent advancements and future prospects in the application of AI and ML in diabetes management, emphasizing the importance of validation, data privacy, and ethical considerations. Keywords: artificial intelligence, machine learning, diabetes prediction, prevention, personalized interventions, predictive analytics.