This specialization from Lund University is designed for students and professionals in psychology, medicine, and other clinical disciplines who want to understand, evaluate, and apply AI in mental health. Across three courses, you will:
Understand and evaluate AI in mental health — gaining a practical foundation in Machine Learning, Natural Language Processing, and Large Language Models, and learning how to assess AI systems for validity, reliability, and bias.
Explore how AI can enhance mental health care in practice, including its applications in assessment, treatment selection and personalization, and psychotherapy — alongside the potential risks and limitations of each.
Learn how to responsibly implement AI in clinical settings, weighing ethical principles, legal frameworks, and the needs of patients, clinicians, and healthcare organizations.
Throughout, you will encounter perspectives from diverse stakeholders, including patients, clinicians, and healthcare organizations, to help you form your own informed view and play an active role in shaping how the profession evolves.
Übungsprojekt
To bridge theory and practice, hands-on assignments and reflection exercises challenge learners to apply course concepts to realistic clinical scenarios — from evaluating an AI tool's validity and bias to reflecting on ethical implementation in their own practice. Interviews with diverse stakeholders, including patients, clinicians, researchers, and developers, provide real-world context to deepen and challenge learners' perspectives.
