Artificial Intelligence in Child and Adolescent Psychiatry: A Narrative Review of Recent Clinical Applications and Ethical Considerations.

Abstract

Purpose of review: This narrative review examines recent literature of artificial intelligence (AI) in child and adolescent psychiatry. With increasing mental health disorders in young people along with persistent workforce shortages, AI has emerged as a potential tool to improve efficiency and support clinical decision making. However, using AI raises important ethical concerns which are summarized in our review.

Recent findings: Most AI applications in child and adolescent psychiatry remain early in development and are not ready for routine clinical use. AI scribes are likely impractical in many child psychiatry settings because of multiparty visits, consent concerns, and sensitive clinical discussions. Many multimodal diagnostic tools using machine learning still require further testing and can be impractical when relying on costly diagnostics like neuroimaging. Similarly, AI-assisted therapeutics requiring physical hardware like robotics and virtual or augmented reality devices can also be prohibitively expensive. One of the few exceptions includes AI-enabled video and eye-tracking approaches for autism diagnosis. Chatbots and robot companions may provide modest improvements for depression, but evidence remains limited in the pediatric population with risk of serious harm. Concerns of AI include misinformation, algorithmic biases, privacy risks, crisis mismanagement, and excessive emotional attachments to chatbots. AI may eventually support child and adolescent psychiatry, but current evidence supports cautious, supervised use rather than broad clinical adoption. Clinicians should help families understand AI's limits, encourage digital literacy, and ensure that AI remains an adjunct to human care rather than a substitute.