September 5, 2025PEDIATRICS

Using Artificial Intelligence and Machine Learning to Promote Child Health Equity

View Full Paper

Ask AI

Bookmark

Authors

Discussion

Observational analysis identifies predictors of health equity in children, highlighting AI's potential impact.

Machine learning can predict nonattendance at outpatient appointments, improving child health access.
The ML algorithm uses demographic data to enhance health equity in diverse populations.
One application targeted preventive interventions for high-risk children with asthma, improving health outcomes.
Addressing biases in ML training data is vital to ensure equitable health interventions and outcomes.

Cheung et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark