Using Generative AI To Predict Mental Health Treatment Success And Psychotherapeutic Trajectories
Researchers are exploring the use of generative AI and large language models (LLMs) to predict the success and trajectory of mental health therapy, potentially as early as the second session. Current studies suggest prediction accuracy of around 65% at that stage, using client outcome data and therapist performance history. While traditional statistical models have been used, AI offers new possibilities for dynamic, personalized forecasting. However, the field is still in early development, with questions remaining about reliability and real-world applicability.
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InnovationAIUsing Generative AI To Predict Mental Health Treatment Success And Psychotherapeutic TrajectoriesByLance Eliot,Contributor.Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant.Follow AuthorApr 29, 2026, 03:15am EDTLeveraging generative AI and LLMs to make predictions about the path and outcome of undertaking mental health therapy.gettyIn 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.
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