医学
电流(流体)
糖尿病
梅德林
重症监护医学
内分泌学
政治学
法学
电气工程
工程类
作者
Bin Sheng,Krithi Pushpanathan,Zhouyu Guan,Quan Hziung Lim,Zhi Wei Lim,Samantha Min Er Yew,Jocelyn Hui Lin Goh,Yong Mong Bee,Charumathi Sabanayagam,Nick Sevdalis,Cynthia Ciwei Lim,Chwee Teck Lim,Jonathan Shaw,Weiping Jia,Elif I. Ekinci,Rafael Simó,Lee‐Ling Lim,Huating Li,Yih‐Chung Tham
标识
DOI:10.1016/s2213-8587(24)00154-2
摘要
Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise care for people with diabetes and adapt treatments for complex presentations. However, the rapid advancement of AI also introduces challenges such as potential biases, ethical considerations, and implementation challenges in ensuring that its deployment is equitable. Ensuring inclusive and ethical developments of AI technology can empower both health-care providers and people with diabetes in managing the condition. In this Review, we explore and summarise the current and future prospects of AI across the diabetes care continuum, from enhancing screening and diagnosis to optimising treatment and predicting and managing complications.
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