AI Applications for Mental Health and Clinical Practice

Übersicht

This course is designed for students and professionals in psychology, medicine, and other clinical disciplines who want to explore how AI is transforming mental health care in practice. Building on foundational AI concepts, you will examine how clinical decision-making is evolving, from early statistical models to modern AI systems, and what research tells us about their accuracy compared to human judgment.

You will then explore how AI can expand mental health assessments, including how language-based approaches can measure, describe, and differentiate between psychological states in ways traditional rating scales cannot. Finally, you will discover how AI can support treatment selection and personalization through precision mental health approaches, and how it is beginning to be integrated into psychotherapy delivery.

Throughout, you will encounter perspectives from patients, clinicians, and researchers, and be encouraged to critically reflect on the opportunities and risks of applying AI in real clinical settings. By the end of this course, you will be equipped to evaluate how AI tools can realistically enhance, and potentially transform, mental health assessment and treatment.

Lehrplan

• Clinical versus Statistical Decision-Making
Welcome to this module, where we introduce you to this course and move on to clinical and statistical decision-making. Here, we step back to examine the history of AI in clinical decision-making, from the 1950s to today. We will discuss comparisons between clinical judgment and AI, and how these findings and technological developments have been perceived by mental health professionals over time.
• AI for Mental Health Assessments
Welcome to this module about AI-driven mental health assessments and AI-based decision support. Here, we focus on language-based assessments in mental health, such as how AI can analyze patient language to provide insights into mental states with the potential to assist in clinical decision-making.
• AI for Precision Mental Health and Psychotherapy
Welcome to this module about the use of AI for Precision Mental Health and psychotherapy. First, we focus on how AI can optimize treatment selection and personalize interventions. Then we move on to the potential of Large Language Models and generative AI to support clinicians and patients in psychotherapy.

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Unterrichtet von

Oscar Kjell, Veerle Eijsbroek, and Katarina Kjell

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Fachgebiete

Artificial Intelligence