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Artificial Intelligence for Mental Health


AI4MH aims to transform research, diagnosis, and treatment of psychiatric & behavioral disorders by creating and using responsible AI. To achieve this vision, we create AI tools tailored towards psychiatric applications, facilitate their use within the department, foster interdisciplinary collaborations, and provide cutting-edge knowledge.


Core Objectives

Innovate

Develop AI models designed specifically to answer key questions in psychiatry and behavioral sciences

Translate

Facilitate integration of AI within mental health settings and promote findings enabled by this technology

Collaborate

Strengthen partnerships between AI scientists and mental health experts to drive innovation and resource sharing

Educate

Empower mental health professionals to responsibly utilize AI and promote community engagement
 


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About Us

Ehsan Adeli
Assistant Professor of Psychiatry and Behavioral Sciences (Public Mental Health and Populations Sciences)
Kilian M Pohl
Professor of Psychiatry and Behavioral Sciences (Major Labs and Incubator) and, by courtesy, of Electrical Engineering
Kaustubh Supekar
Clinical Associate Professor, Psychiatry and Behavioral Sciences Clinical Associate Professor, Psychiatry and Behavioral Sciences - Child & Adolescent Psychiatry and Child Development
Eric Roland Kuhn
Associate Professor of Psychiatry and Behavioral Sciences (Public Mental Health and Population Sciences)
Carolyn Rodriguez
Professor of Psychiatry and Behavioral Sciences (Public Mental Health and Population Sciences)
Shannon Wiltsey Stirman
Professor of Psychiatry and Behavioral Sciences (Public Mental Health and Population Sciences)
Jane P. Kim
Clinical Associate Professor, Psychiatry and Behavioral Sciences
Manish Saggar
Associate Professor of Psychiatry and Behavioral Sciences (Interdisciplinary Brain Science Research)

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