Artificial intelligence for diabetes care: current and future prospects.

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.
Competing Interests: Declaration of interests NS is the director of London Safety and Training Solutions. HL is supported by the National Key Research and Development Program of China (2022YFA1004804), the Excellent Young Scientists Fund of the National Natural Science Foundation of China (82022012), and the innovative research team of high-level local universities in Shanghai (SHSMU-ZDCX20212700). Y-CT is supported by the National Medical Research Council of Singapore (NMRC/MOH/ HCSAINV21nov-0001).
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