Integrating artificial intelligence (AI) and psychiatric genomics holds transformative potential for child and adolescent psychiatry, offering precision tools to enhance risk assessment and early intervention planning for behavioral and emotional problems. This Clinical Perspective explores the emerging role of AI in leveraging genomic data alongside psychosocial and environmental contexts to inform psychotherapeutic and psychopharmacological decisions. Highlighting advancements in genomic risk profiling and predictive modeling, we examine how these tools can optimize the timing, modality, and personalization of interventions. We also address critical ethical considerations, including equity, consent, privacy, and the potential for AI-driven biases to exacerbate disparities. With actionable guidance for clinicians, this piece aims to foster a nuanced understanding of the benefits and challenges of integrating AI-driven genomic insights into clinical decision-making, ensuring that technological innovation aligns with ethical and equitable care practices for vulnerable populations.
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Ali et al. (2025) studied this question.
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