AI in Child Psychiatry: Exploring Future Tools for the Detection and Management of Mental Disorders in Children and Adolescents.

This article explores the potential of artificial intelligence (AI) in the field of child psychiatry, focusing on screening, detection, diagnosis, therapeutic tools, and research development. In this non-exhaustive review, we will examine the interest of AI applications in intervention contexts such as parent education tools, emotion regulation tools, and cognitive-behavioral therapy tools through interactive applications. The network approach, a branch of machine learning, will also be considered. Some examples of machine learning applications in child psychiatry will be presented. Finally, we address the ethical question of the role of these applications, analyzing whether they represent a real beneficial tool or a potential danger.