Using Generative AI To Predict Mental Health Treatment Success And Psychotherapeutic Trajectories
Key takeaways
- AIUsing Generative AI To Predict Mental Health Treatment Success And Psychotherapeutic Trajectories By Lance Eliot,
- Forbes contributors publish independent expert analyses and insights.
- A person decides to get mental health support and makes use of therapy accordingly.
AIUsing Generative AI To Predict Mental Health Treatment Success And Psychotherapeutic Trajectories By Lance Eliot,
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant.Follow Author Apr 29, 2026, 03:15am EDTLeveraging generative AI and LLMs to make predictions about the path and outcome of undertaking mental health therapy.getty In today’s column, I examine the fascinating possibility that we might be able to use generative AI and large language models (LLMs) to predict the psychotherapeutic success or failure for people opting to undertake mental health therapy.
Here’s the deal. A person decides to get mental health support and makes use of therapy accordingly. A vexing question that has existed since the beginning of psychotherapy is whether the eventual outcome can be predicted. The person might successfully complete therapy and be considered good to go, no longer requiring additional therapy. On the other hand, a person might end up still in mental straits, despite the therapy going on and on.