ARTIFICIAL INTELLIGENCE IN ENDOCRINOLOGY: EMERGING APPLICATIONS IN DIABETES AND OBESITY MANAGEMENT
TL;DR
Current evidence regarding the emerging applications of AI in diabetes and obesity management is summarized, recent technological advances are discussed, implementation barriers are highlighted, and future directions for AI-assisted endocrine care are explored.
Abstract
Artificial intelligence has rapidly emerged as one of the most transformative technologies in modern endocrinology, particularly in the management of diabetes mellitus and obesity. The integration of machine learning, deep learning, natural language processing, and generative AI into endocrine practice has enabled more accurate disease prediction, individualized treatment strategies, automated insulin delivery, and continuous patient monitoring. AI-powered clinical decision support systems facilitate early diagnosis of metabolic disorders, optimize glucose control through continuous glucose monitoring, predict diabetes-related complications, and improve obesity risk stratification. Furthermore, wearable technologies combined with AI algorithms provide real-time analysis of physiological parameters, enabling personalized interventions and improving long-term clinical outcomes. Recent developments in explainable AI, digital twins, and large language models have expanded opportunities for precision endocrinology while simultaneously introducing new ethical, regulatory, and cybersecurity challenges. This review summarizes current evidence regarding the emerging applications of AI in diabetes and obesity management, discusses recent technological advances, highlights implementation barriers, and explores future directions for AI-assisted endocrine care.