
Applied AI in Psychiatry
This advanced course provides an in-depth exploration of AI technologies and their applications in psychiatry, including mental health diagnosis, treatment personalization, predictive analytics, and therapeutic interventions. It covers ethical and legal considerations, as well as the latest trends in neuroimaging, biomarkers, and AI-driven mental health solutions. Participants will gain hands-on experience with AI tools and frameworks while exploring case studies and collaborating on a capstone project focused on real-world psychiatric applications.
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Course Duration:
30 hours
Level:
Advanced

Course Objectives
To provide participants with an in-depth understanding of AI’s role in psychiatric research, diagnosis, and treatment.
To equip participants with the skills to apply AI tools and techniques in mental health care.
To explore ethical, legal, and social implications of AI in psychiatric settings.
To foster collaboration between AI and mental health professionals through case studies and group projects.
To design and implement an AI-based solution for a specific psychiatric issue.
Prerequisites
A background in psychiatry, psychology, or a related mental health field (for mental health professionals).
Knowledge of basic machine learning concepts (for AI professionals or researchers).
Familiarity with programming languages such as Python is recommended.
