Artificial Intelligence and Its Scope in the Treatment of Diabetes  

作　　者：Aarita Sood Terry Oroszi Aarita Sood;Terry Oroszi(Department of Pharmacology and Toxicology, Boonshoft School of Medicine, WSU, Fairborn, OH, USA)

机构地区：[1]Department of Pharmacology and Toxicology, Boonshoft School of Medicine, WSU, Fairborn, OH, USA

出　　处：《Open Journal of Applied Sciences》2024年第12期3748-3774,共27页应用科学(英文)

摘　　要：The science of artificial intelligence is rapidly expanding, and its application to the global diabetes pandemic could revolutionize how this chronic disease is diagnosed and managed. AI has been used to design algorithms to assist prediction models for the risk of diabetes or its complications. During the last 10 years, the combination of continuous glucose monitoring and data from insulin pumps has revolutionized the management of diabetes. More recently, wristbands or watches have been able to track a wide range of physiological characteristics and functions, including heart rate, sleep duration, number of steps taken, and mobility. Future updates will provide more information, including barometric pressure, hydration, and geolocation. When these variables are analyzed, they can support the decision-making of patients and medical professionals. There has been a growing interest in developing and using artificial intelligence (AI) methods for decision assistance and knowledge acquisition in recent years. Comparable new situations have emerged in various medical domains. The industry is considering a significant potential for the application of artificial intelligence (AI), which is now being applied to generate personal health histories. However, cost and privacy concerns have not yet been resolved.The science of artificial intelligence is rapidly expanding, and its application to the global diabetes pandemic could revolutionize how this chronic disease is diagnosed and managed. AI has been used to design algorithms to assist prediction models for the risk of diabetes or its complications. During the last 10 years, the combination of continuous glucose monitoring and data from insulin pumps has revolutionized the management of diabetes. More recently, wristbands or watches have been able to track a wide range of physiological characteristics and functions, including heart rate, sleep duration, number of steps taken, and mobility. Future updates will provide more information, including barometric pressure, hydration, and geolocation. When these variables are analyzed, they can support the decision-making of patients and medical professionals. There has been a growing interest in developing and using artificial intelligence (AI) methods for decision assistance and knowledge acquisition in recent years. Comparable new situations have emerged in various medical domains. The industry is considering a significant potential for the application of artificial intelligence (AI), which is now being applied to generate personal health histories. However, cost and privacy concerns have not yet been resolved.

关 键 词：Artificial Intelligence DIABETES Expert Systems RBR CBR FL CNN 

分 类 号：R58[医药卫生—内分泌]