Machine learning improves identification of asthma risk in children

A machine learning tool that analyzes information already captured in a child's electronic health record helped pediatricians ...
Medical Xpress

Machine learning predicts asthma risk in children with early-life atopic dermatitis

Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in children diagnosed with early-life atopic dermatitis, according to a study ...
Medical Xpress

Researchers develop machine learning models that could improve suicide-risk prediction among children

A new study from UCLA Health researchers finds that the typical ways health systems store and track data on children receiving emergency care miss a sizable portion of those who are having ...
The Conversation

‘Alexa, tell me a joke’: how talking to AI impacts young children’s development

Children are innately curious, and throughout any given day they come up with all manner of questions: Why don’t fish have hair? Why do flowers wilt so quickly? Their need to understand the world – ...