(P620) Reviewing Generative AI Use in Diabetes and Cardiorenal Metabolic Disease Management

Managing diabetes and associated cardio-renal-metabolic syndrome is complex, and diabetes specialists face growing data and workflow burdens. This poster examines how generative AI tools can facilitate early diagnosis, streamline care, and enhance diabetes education. Attendees will gain insight into how these technologies can be safely and efficiently integrated into diabetes care, which draws on real-world cases from research studies, including randomized controlled trials, observational studies, and expert consensus statements. Additionally, this poster addresses the limitations of AI, such as bias and the need for human oversight. This poster equips attendees with actionable knowledge to enhance care through sustainable, technology-based strategies.