Reacción a "AI is useful for mental health treatment, provided that the human factor remains central"

The review is well aligned with the current evidence on the use of artificial intelligence in mental health and is particularly helpful in framing AI applications across the full care pathway. The article identifies four key phases in which AI may play a role: early detection of changes in behavior or emotional state; support for diagnosis through the analysis of complex data such as language, behavioral patterns, or digital signals; treatment, by assisting clinical decision-making or the personalization of interventions; and post-care, through long-term monitoring and relapse prevention. This framework helps to clarify both the realistic opportunities for AI and its current limitations.

Not everyone is likely to benefit equally from AI-based tools in mental health. Their usefulness depends on factors such as the type and severity of the condition, age, social context, and digital literacy. Moreover, the application of AI in this field requires particular caution given the sensitivity of mental health data, the risk of bias, and the potential for inappropriate or harmful responses in vulnerable situations. For these reasons, AI should be understood as a complementary tool rather than a replacement for human clinical judgment, and its deployment should be supported by rigorous validation, professional oversight, and robust ethical and regulatory frameworks.