Artificial intelligence in psychiatry and mental health: A narrative review

• Author Details:   
• Anand Lingewaran ^*
• Pooja Govind Govind

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The integration of Artificial Intelligence (AI) technologies in mental health care offers significant potential for enhancing diagnostic accuracy and personalizing treatment approaches. AI technologies have the capacity to analyze vast amounts of data, enabling clinicians to identify patterns and tailor interventions to individual patient needs effectively.
The growing recognition of mental health's impact on overall well-being underscores the necessity for innovative solutions, including AI, to improve care delivery and patient outcomes.
The challenges of integrating AI into mental health care include ethical concerns, data privacy issues, and the need for robust validation of AI-driven tools in clinical settings. Addressing these challenges is essential for the successful implementation of AI technologies in psychiatry. To fully harness the potential of AI in psychiatry, ongoing research and collaboration among stakeholders are crucial to navigate these complexities and ensure effective, ethical integration. Current mental health interventions often lack personalization and may not adequately address the diverse needs of patients, highlighting the necessity for more tailored approaches through AI innovations.

Keywords: Artificial Intelligence, Mental health, Psychiatry, Narrative review