AI tool aims to match kids with the right mental health care

This study tests a new tool called the Placement Success Predictor (PSP), which uses machine learning to help clinicians decide the best level of care for each child or teen with behavioral health needs. The tool gives a prediction of how likely a youth is to succeed in different placement options, such as outpatient therapy or residential care. Researchers will compare outcomes for youth whose care matches the tool's top recommendations versus those who receive other placements. The goal is to see if using this personalized prediction leads to better mental health improvements.