AI-enabled blended diabetes care
AI is presented as potentially useful for diagnosis, risk stratification, and personalised care planning, but with a risk of worsening digital inequity. The discrete-choice experiment used attributes covering price, recommendation source,…
1 sources - 3 claims
AI is presented as potentially useful for diagnosis, risk stratification, and personalised care planning, but with a risk of worsening digital inequity. The discrete-choice experiment used attributes covering price, recommendation source, food-diary feedback, follow-up frequency, and expert oversight. The study examined AI-enabled blended care for adults with type 2 diabetes in Henan Province, China.