Artificial intelligence(AI)algorithms in combination with continuous monitoring technologies have the potential to revolutionize chronic disease management.The recent innovations in both continuous glucose monitoring(...Artificial intelligence(AI)algorithms in combination with continuous monitoring technologies have the potential to revolutionize chronic disease management.The recent innovations in both continuous glucose monitoring(CGM)and the closed-loop highlight the far-reaching potential of AI biosensors for individual healthcare.This review summarizes some of the most advanced progress made in CGM biosensing.We will focus on three main applications of AI algorithms in diabetes management:closed-loop control algorithms,glucose predictions,and calibrations.The challenges and opportunities of AI technologies for CGM in individualized and proactive medicine will also be discussed.展开更多
基金Shenzhen Stability Support Plan,Grant/Award Number:20200806163622001National Natural Science Foundation of China,Grant/Award Numbers:21804007,21890742SZU Top Ranking Project,Grant/Award Number:86000000210。
文摘Artificial intelligence(AI)algorithms in combination with continuous monitoring technologies have the potential to revolutionize chronic disease management.The recent innovations in both continuous glucose monitoring(CGM)and the closed-loop highlight the far-reaching potential of AI biosensors for individual healthcare.This review summarizes some of the most advanced progress made in CGM biosensing.We will focus on three main applications of AI algorithms in diabetes management:closed-loop control algorithms,glucose predictions,and calibrations.The challenges and opportunities of AI technologies for CGM in individualized and proactive medicine will also be discussed.
