AI Research Week Workshop-AI as a Transformative Force for Mental Health Practice and Research - overview

This is an OPEN workshop. Registration is required.


This event is part of AI Research Week:


Workshop on:

AI as a Transformative Force for Mental Health Practice and Research

Date/Time: September 18 (Wednesday), 2019/8:30 am - 12:30 pm

Venue: The MIT Samberg Conference Center


Mental illness is prevalent and a major driver of high costs of overall healthcare. One in five Americans suffers from a mental illness that requires care but there is a severe shortage healthcare experts. While AI technology is becoming more prevalent in medical practice, the discipline of mental health has been slower to adopt AI. Mental health practitioners are more hands-on and patient-centered in their clinical practice than most non-psychiatric practitioners, relying more on “softer” skills, like forming relationships with patients and directly observing patient behaviors and emotions. Their clinical data are often in the form of subjective and qualitative patient statements and written notes. AI has great potential to develop digital phenotypes based on behaviors, redefine neuropsychiatric assessment, increase understanding of mental illnesses, and personalize treatment. This workshop will foster a discussion of major challenges in applying AI to mental health and neurological disorders and consider novel strategies to overcome them. 

Chairs:  Ho-Cheol Kim, PhD (IBM Research), Dilip Jeste, MD (School of Medicine, UC San Diego)



8:00 am - 8:30 am   Arrival, Registration

8:30 am - 9:00 am   Opening, Introduction

                   Ho-Cheol Kim, PhD (IBM); Dilip Jeste, MD (UCSD School of Medicine)

9:00 am - 9:20 am   Review of AI for Mental Health

                        Ellen Lee, MD (UCSD School of Medicine)

9:20 am - 9:40 am   Computing and Mental Health

                        John Torous, MD (Harvard Medical School)

9:40 am - 10:00 am NIMH Portfolio on AI & Relevant Funding Opportunities

                        Michele Ferrante, PhD (NIMH)

10:00 am – 10:30 am    Discussion

10:30 am – 10:40 am    Coffee Break

10:40 am – 11:00 am  UCSD Research and Training on AI for Healthy Aging

                        Colin Depp, PhD (UCSD School of Medicine)

11:00 am – 11:20 am   Living with AI

                        Cynthia Breazeal, PhD (MIT Media Lab)

11:20 – 12:00 am     Panel on Data Ethics

                Lead: Camille Nebeker, PhD (UCSD School of Medicine)

                Participants: all the speakers

12:00 am – 12:30 am  General Discussion, Next Steps, Closing

               Ho-Cheol Kim, PhD (IBM), Dilip Jeste, MD (UCSD School of Medicine)