AI-enabled blended diabetes care
Cross-source consensus on AI-enabled blended diabetes care from 1 sources and 3 claims.
1 sources · 3 claims
Benefits
Where it comes from
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Highlighted claims
- The discrete-choice experiment used attributes covering price, recommendation source, food-diary feedback, follow-up frequency, and expert oversight. — Patient preferences and willingness-to-pay for AI-enabled blended type 2 diabetes care by digital experience and socioeconomic status: a discrete-choice experiment in China
- The study examined AI-enabled blended care for adults with type 2 diabetes in Henan Province, China. — Patient preferences and willingness-to-pay for AI-enabled blended type 2 diabetes care by digital experience and socioeconomic status: a discrete-choice experiment in China
- AI is presented as potentially useful for diagnosis, risk stratification, and personalised care planning, but with a risk of worsening digital inequity. — Patient preferences and willingness-to-pay for AI-enabled blended type 2 diabetes care by digital experience and socioeconomic status: a discrete-choice experiment in China