Objective:

To synthesize evidence on patient use of AI tools for mental health support and provide a structured framework for clinicians to integrate these tools into practice.

Approach:

Key Findings:

• Over 5 million US youth (13%) have sought mental health advice from AI tools, with 22% among those aged 18 to 21, indicating a significant trend in younger populations.
• Nearly half of adult patients with mental health conditions using AI reported seeking support for anxiety, depression, and personal advice, highlighting the tool's relevance.
• AI tools may reveal patient concerns not shared with clinicians, influencing patient interpretations of their experiences and potentially affecting treatment outcomes.

Interpretation:

AI use in mental health care can provide valuable support but also poses risks, including misinformation, privacy concerns, and the potential for harmful outputs.

Limitations:

• Evidence in this area is limited and evolving, necessitating cautious interpretation.
• The article is based on previously published studies, which may affect generalizability and the ability to quantify outcomes.

Conclusion:

Routine assessment of AI use in mental health is crucial for understanding patient experiences, integrating these tools into care, and mitigating potential harms.

Sources:

• JAMA Psychiatry
Attribution Notice

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.