Artificial intelligence (AI) is emerging as a potential tool to improve access and quality of mental healthcare. The demand for accessible and affordable mental healthcare is higher than ever, with about 1 in 5 adults in the U.S. and Canada having a mental health problem, but less than half having access to appropriate treatment.

The Rise of AI for Mental Health

AI developers aim to use AI to ease the burden on mental healthcare providers. AI mental health tools may help people get quick access to care, reduce costs, and personalize treatments. These tools can offer mental health support in the form of supportive conversations, guided self-reflection, and providing mental health information.

AI tools have also become easier to use, more responsive, and more conversational. Although AI tools can offer support to people who otherwise may not be able to access care, it can be easy to mistake the mental health support you receive from AI tools for actual treatment.

How AI Is Currently Being Used for Mental Health

AI is already playing a support role in mental health care. These AI tools can help in several ways, including making it easier to get timely mental health support, improving how mental health issues are identified and diagnosed, offering more affordable therapy options, developing personalized patient care plans, and helping people better understand their mental health.

Mental health chatbots, symptom monitoring, journaling, and mood trackers are some of the ways AI mental health tools are currently being used. AI tools can also help clinicians keep a record of session notes and flag important patterns and themes over time.

However, more research is needed to learn how effective AI tools may be. Studies of AI chatbots for treating mental health conditions like depression, anxiety, and stress have had inconsistent results, with some studies showing significant improvements, while others find little to no benefits.

Original reporting: KTBS 3 (Shreveport) — read the source article.