 This scoping review examines the integration of artificial intelligence, AI, into pediatric rehabilitation interventions targeting the participation of children and youth with disabilities, or other diagnosed health conditions in valued activities. The study found that most of the included studies used multiple applications of AI, with robotics and human-machine interaction being the most prevalent. Most interventions were delivered in person, with only 11% being delivered remotely. Only 1% of interventions was tailored to patients' individually reported participation needs, and only one intervention described individual goal-setting as part of the therapy process or intervention planning. The study identified three major gaps for further research and development. A lack of remotely-delivered participation-focused interventions using AI, a lack of individual goal-setting integrated in interventions, and a lack of interventions tailored to individually reported participation needs of children, youth or families. This article was authored by Vera C. Kalin, Mina Valizadeh, Zurasadeh Salgado, and others. We are article.tv, links in the description below.