Artificial Intelligence Enabled Lifestyle Medicine in Diabetes Care: A Narrative Review.

To examine the applications of artificial intelligence (AI) in lifestyle medicine focused on diabetes care as a narrative review. Relevant keywords were identified and searched using PubMed to find relevant studies on AI in diabetes lifestyle management. AI applications in diabetes care were divided into four primary categories: 1- predictive models for diabetes risk and complications, which can utilize random forest and deep learning, demonstrating high accuracy rates (>80%); 2- personalized lifestyle recommendations, which can utilize clustering techniques and causal forest analysis to adapt interventions, leading to enhanced glycemic control and weight reduction; 3- remote monitoring and self-management tools, which can utilize digital twin technology and machine learning for behavior modeling, showing improved patient adherence and clinical results; and 4- clinical decision support systems, which assess various data sources for enhanced diagnosis and treatment suggestions. AI technologies show significant potential in improving diabetes care through multiple modalities that offer scalable cost-effective solutions, improved patient outcomes, and more efficient resource distribution.