To explore the role of AI technologies in identifying and addressing emotional and attention-related issues in children.
Approach:
Key Findings:
AI technologies can enhance the objective assessment of children's mental health.
Effective emotional regulation during childhood is crucial for overall development and early identification of psychological disorders.
Attention deficits in children may indicate underlying psychological issues and require early intervention.
Interpretation:
While AI shows promise in supporting mental health assessments and interventions, its effectiveness in real-world settings and reliance on data quality and cultural factors remain under investigation.
Limitations:
AI does not provide definitive diagnoses independently.
The clinical applicability of AI technologies is still being evaluated.
Conclusion:
AI has the potential to improve mental health outcomes for children by facilitating early identification and personalized treatment, but further advancements and validations are necessary.
