A recent research study highlighted the potential of artificial intelligence technologies to predict early psychological disorders in children by analyzing their linguistic patterns during spontaneous speech. The analytical models demonstrated high accuracy in detecting indicators of declining mental health based on sentence structure and the use of conjunctions, proving to be more significant than the direct content of the conversation. This innovative methodology marks a crucial step in identifying the most at-risk groups before they reach adolescence, enabling early intervention and preventive care, particularly when linguistic indicators linked to social pressures or harsh experiences are detected.