Artificial intelligence (AI) seems to be permeating every aspect of our lives, and mental health is no different. The use of AI in mental health is still evolving, but several applications have been created that assist with assessment and treatment. Let’s further examine how AI can help you with your psychological well-being.

How Does AI Contribute To Mental Health Services?

The use of AI in mental health generally falls into three interrelated camps: machine learning, natural language processing, and generative AI.

Machine Learning (ML)

Machine learning examines broad patterns found in a person’s electronic health records, including therapy notes and test results. If given access, it can even review smartphone usage, data from wearable devices, and social media activity. It trains on that data and uses algorithms to predict future actions based on the information it has reviewed. One of its strengths is that it can see subtle changes that a human being might miss. For instance, ML can be used to identify the recurrence of symptoms in individuals with psychiatric conditions. In one example, machine learning predicted relapse and hospitalization in people previously diagnosed with bipolar disorder.

Natural Language Processing (NLP)

NLP is technically a subset of machine learning, but it takes it a step further. It can provide a nuanced analysis of an individual’s data by examining language patterns. What makes NLP special is that, much like a human, it can detect emotional tone and underlying themes. For example, NLP has been effective in detecting linguistic markers associated with psychotic episodes in people with schizophrenia several weeks before relapse occurs.

Generative AI

Generative AI is on the cutting edge of artificial intelligence. It doesn’t just examine information; it “learns” on its own and can create original content. Well-known applications, such as ChatGPT and Gemini, are examples of this form. Generative AI is expected to play a prominent role in mental health going forward. ChatGPT-4, for instance, has been able to estimate the likelihood of suicide attempts with similar accuracy to mental health professionals. Additionally, AI chatbots, which have become popular for assessment and coaching, usually operate using generative AI.

Primary Benefits of AI in Mental Health.

AI can be of great assistance to people seeking mental health services:

Convenience

Most people have contact with their therapist once weekly, maybe twice or three times at most. Unlike a therapist, AI is available for people 24/7. No human can offer that. Additionally, some people may not want to go to therapy due to cost, time commitment, and stigma. Apps are usually cheaper than therapy, available from the privacy of your home, and don’t come with any accompanying embarrassment.

Assessment

By objectively consuming several sources of ongoing information, AI can identify difficulties that even therapists may miss. This alerts people to problems they may not know they had and allows professionals to make accurate treatment plan goals and objectives.

Prevent Crises

Because AI programs can have daily interactions with clients, they are often the first to know when problems occur. This allows therapists, friends, and family (not to mention the person themselves) to intervene before symptoms worsen. In turn, this may prevent crisis situations and hospitalizations.

Guidance and Support

The ultimate goal of AI mental health apps is to provide effective and realistic psychotherapy without having to engage a human therapist. While this is not yet a reality—and may not be within our lifetime— AI can offer support and direction. Several apps use chatbots to lend a virtually supportive shoulder and lead people through well-established treatment protocols, such as those found in cognitive-behavioral therapy.

Enhances Therapist Awareness

Mental health professionals are human beings. They can only consider so much information at once. AI can synthesize huge amounts of data and point out symptoms and patterns that may be cause for concern. This added awareness gives therapists time to formulate optimal interventions and improve their day-to-day decision-making.

Real-World Applications

AI chatbots that provide support and basic guidance are gaining in popularity. Many of these tools act as “coaches” for people experiencing mental health difficulties. Some even steer clients through the steps of specific types of treatment. Let’s take a look at several applications that provide mental health services:

Wysa

Wysa is a self-help app that can be used independently or as a complement to therapy. It uses an AI chatbot to assign relevant CBT exercises and detects variables that may indicate a client is in crisis. It also has a feature called “co-pilot”, which was specifically created to be used in tandem with a therapist. Utilizing Wysa has been associated with decreases in anxiety and depression.

Youper

Youper is another popular 24/7 CBT self-help app that utilizes AI to target mental health problems. Its assessment function can identify relevant symptoms and prevent relapse by guiding clients through interventions aimed at reducing depression and anxiety. It also has a chatbot that engages individuals in conversation to provide coaching. It does not have a feature that explicitly pairs with a therapist, but it can easily be used by clinicians to help monitor a client’s status.

Kintsugi

Kintsugi illustrates how AI can be used to analyze voice biomarkers consistent with mental health difficulties. It examines the vocal patterns obtained from the client’s voice journaling to identify specific psychiatric conditions. As such, therapists can use Kintsugi as a screening measure to help diagnose problems and prevent relapse. For example, voice biomarker outcomes are able to predict moderate to severe depression.

The Pitfalls of AI

As much as AI can potentially contribute to mental health treatment, it does have its limitations. Individuals must consider the following when using AI as a therapeutic resource:

False Positives/Negatives

Anyone who uses AI knows that it is only as accurate as the information it learns from. There can be a lot of false and misleading information on the internet and in electronic records. Additionally, AI assessment tools often rely on self-report, which may be biased or false. As a result, everyone needs to use caution when using AI: Just because AI says something doesn’t make it true.

Privacy and Data Security issues

Whenever you utilize technology, you must be aware of privacy and security issues. You may be talking to AI chatbots about highly personal issues, and you do not want this information to find its way onto social media. While most AI tools tout privacy features, not all are strictly HIPAA-compliant. Prospective users are advised to review the privacy aspects of each app they may want to use.

AI Can Complement Therapy—Not Replace It

With its recent advancements, it may be tempting to use an AI mental health app instead of seeking psychotherapy. However, AI is not a replacement for a real therapist. Rather, it is a tool that can help with assessment and guidance. The therapeutic relationship is vital for the success of therapy, and AI cannot replace the empathy and emotion present in that collaboration. This is especially true for serious conditions. You don’t want to put your health and safety in the hands of a machine.

AI exhibits immense potential to aid people with mental health difficulties. Its convenient tools can help identify an individual’s internal struggles and present the outline of certain treatments. It can also assist therapists with diagnostic and administrative tasks. However, people must be cautious not to rely too heavily on AI for mental health; it is far from a perfect product. Artificial intelligence may be the future of mental health, but that time has not yet fully arrived.