AIMC Journal:
Clinical child psychology and psychiatry

Showing 1 to 6 of 6 articles

Multidimensional Cognitive and Linguistic Profiles in Adolescent Schizo-Obsessive Presentations: A Machine Learning and Explainable Artificial Intelligence Approach.

Clinical child psychology and psychiatry
Schizo-obsessive presentations in adolescence remain insufficiently characterized, particularly with respect to their cognitive, linguistic, and social-cognitive features. This study explored clinical, neurocognitive, social-cognitive, and thought-la...

When Writing is No Longer Thinking: Safeguarding Clinical Scholarship in the Age of Generative Artificial Intelligence: The rise of the Machines.

Clinical child psychology and psychiatry
The rapid emergence of generative artificial intelligence (AI) has prompted growing debate about its role in academic writing and the implications for scholarly integrity. This editorial arose from an increasing number of manuscript submissions to th...

A Book Review of 'Handbook of Children and Screens: Digital Media, Development, and Well-Being From Birth Through Adolescence' Edited by Dimitri A. Christakis and Laurent Hale.

Clinical child psychology and psychiatry
Dimitri A. Christakis and Lauren Hale's Handbook of Children and Screens (2025) examines the complex relationship between digital media use and children's cognitive, physical, mental, and social development. Drawing on interdisciplinary research from...

Comparing ChatGPT-4o and Gemini 1.5 Pro in Adolescent Psychiatric Emergencies: A Real-World Evaluation of AI Support in Suicide Risk Assessment.

Clinical child psychology and psychiatry
ObjectiveThis study aimed to evaluate the performance of large language models-ChatGPT-4o and Gemini 1.5 Pro-in assessing suicide risk and guiding treatment in adolescents presenting to the emergency department with suicidal ideation and/or attempts....

Neurocognitive and Social Cognitive Predictors of Adolescent Major Depressive Disorder: A Machine Learning Classification Study.

Clinical child psychology and psychiatry
Background/aimThis study aimed to investigate whether machine learning (ML) algorithms could accurately differentiate adolescents with Major Depressive Disorder (MDD) from healthy controls (HC) based on neurocognitive data.MethodAdolescents diagnosed...

eMental Health Resources for Youth: Parent Perceptions of AI Matched eMental Health Resources for Their Child.

Clinical child psychology and psychiatry
Despite high prevalence rates of pediatric mental health challenges, estimates suggest over 50% of youth with mental health conditions have never accessed services. eMental health resources have increased over the past two decades to mitigate barrier...