Diabetes is one of the fastest-growing non-communicable diseases,becoming an important public health concern worldwide as well as in China.Currently,China has the largest population living with diabetes.Artificial inte...Diabetes is one of the fastest-growing non-communicable diseases,becoming an important public health concern worldwide as well as in China.Currently,China has the largest population living with diabetes.Artificial intelligence(AI)is a fast-growingfield and its applications to diabetes could enable the delivery of better management services for people with diabetes.This perspective summarized the latestfindings of digital tech-nologies and AI use in the following areas of diabetes care,mainly including screening and risk predictions of diabetes and diabetic complications,precise monitoring and inter-vention combined with new technologies,and mobile health application in self-management support for people with diabetes.Challenges to promote further use of AI in diabetes care included data standardization and integra-tion,performance of AI-based medical devices,motivation of patients,and sensitivity to privacy.In summary,although the AI applications in clinical practice is still at an early stage,we are moving toward a new paradigm for diabetes care with the rapid development and emerging application of AI.展开更多
基金Chinese Academy of Engineering Grants Award No.2022-XY-08Shanghai Municipal Science and Technology Commission Grants Award No.22692114600+1 种基金Shanghai Municipal Grants Award No.2022ZZ01002UNC-Michigan Peer Support Core of the University of Michigan Center for Diabetes Translational Research,P30 DK092926.
文摘Diabetes is one of the fastest-growing non-communicable diseases,becoming an important public health concern worldwide as well as in China.Currently,China has the largest population living with diabetes.Artificial intelligence(AI)is a fast-growingfield and its applications to diabetes could enable the delivery of better management services for people with diabetes.This perspective summarized the latestfindings of digital tech-nologies and AI use in the following areas of diabetes care,mainly including screening and risk predictions of diabetes and diabetic complications,precise monitoring and inter-vention combined with new technologies,and mobile health application in self-management support for people with diabetes.Challenges to promote further use of AI in diabetes care included data standardization and integra-tion,performance of AI-based medical devices,motivation of patients,and sensitivity to privacy.In summary,although the AI applications in clinical practice is still at an early stage,we are moving toward a new paradigm for diabetes care with the rapid development and emerging application of AI.
