Artificial Intelligence and Machine Learning Techniques in the Diagnosis of Type I Diabetes: Case Studies

The US Food and Drug Administration (FDA) approved the first AI-based medical device in 2012. Recently, there has been a notable surge in AI-based devices for diagnosing and managing diabetes. Although several AI-related devices are prevalent in diagnostic imaging and analysis, AI-driven devices for diabetes care are not yet widely available globally. AI technology is being explored in various aspects of diabetes management, encompassing self-management tools, automated retinal screening, clinical diagnosis aids, and risk assessment and categorization. Moreover, several studies have delved into utilizing AI for predicting diabetes, while there has been significant research into refining insulin dosage control. A noteworthy advancement includes AI systems alerting diabetic patients in advance about potential hypoglycemic attacks, marking a considerable stride in diabetes care innovations. This chapter discusses the application of AI and machine learning techniques in diagnosing Type I Diabetes, offering insights through case studies.