French translation of the symposium recording

Date: Wednesday June 15^th, 2022 from 11 am to 2 pm EST
Location: Virtual
Hosted by: Michener Institute of Education at UHN, Vector Institute , CAMH , Mental Health Commission of Canada
Supported by: Future Skills Centre 

This symposium aims to explore the theme of artificial intelligence (AI) in mental health across Canada. The event will feature a panel discussion, highlighting their expertise as well as how AI is breaking into the mental health space. Panelists will share their experiences with AI research, implementation, and adoption into practice, followed by an interactive discussion and Q&A from Symposium attendees.

English and French closed captioning will be available during the symposium. Please reach out to acceleratingai@michener.ca for French translation of the symposium information.

Objectives:

• Engage in a national dialogue on the current trends of AI in mental health
• Discuss success stories and unique challenges of AI projects in mental health
• Reflect on the impact of AI initiatives on mental health patients and communities
• Promote AI innovations and knowledge mobilization in the mental health space

Who Should Attend?

• Mental health and healthcare workers (clinicians, leaders, administrators, IT)
• Researchers
• Students
• Patient partners
• Champions of AI implementation
• Mental health and healthcare policy makers
• Industry partners

Andrew Greenshaw, PhD, FRSA
Professor of Psychiatry and Neuroscience, University of Alberta
Scientific Director, APEC Digital Hub for Best Practices in Mental Health
Management Advisory Board Member, Alberta Machine Intelligence Institute
Board Director, Mental Health Research Canada
Research Advisory Board Member, Little Warriors
Board Chair, Our House

Professor of Psychiatry and Neuroscience at the University of Alberta and a Fellow of the Royal Society of Arts, Dr. Andy Greenshaw trained in Europe and Canada. A Fellow of the Canadian College of Neuropsychopharmacology (CCNP), for which he served as President from 2000-2002, and of the Collegium Internationale Neuropsychopharmacologicum (CINP), Andy has served as University of Alberta Associate Vice President (Research) and has served numerous boards including the Canadian Psychiatric Research Foundation, the Institute of Health Economics and is Research Director for the APEC Digital Hub for Best Practices in Mental Health, a digital hub that will serve the combined APEC population of 2.7 Billion people.

Currently on the Board of Mental Health Research Canada, Andy has extensive experience on Canadian Medical Research Council and Canadian Institutes of Health Research (CIHR) grant panels since 1989, Andy was a member of the Scientific Advisory Board of the CIHR Institute of Neuroscience Mental Health & Addiction from 2012-2016. Andy was a member or the Scientific Advisory Board of The Royal’s Institute of Mental Health Research in Ottawa from 2014-1017 and is currently a member of the Research Advisory Board for Little Warriors, a national organization committed to the awareness, prevention and treatment of child sexual abuse, and Board Chair for Our House residential addiction treatment centre for men.

His active research includes the application of machine learning and data-mining to prediction of differential diagnosis and treatment responses in mental disorders. He is part of a collaborative computational psychiatry group that includes researchers from the Alberta Machine Intelligence Institute. He was the single invited panelist to speak on AI and Health at the Canada-hosted G7 conference on AI in Montreal in December 2018. Andy was an invited panelist at the Canadian annual E-Mental Health conference in March 2020 in Toronto, speaking on “Is Change Coming”. A member of the management advisory board for amii.ca, Andy is actively engaged in research into post-traumatic stress injury (PTSI), including collaborations with the Canadian Military (HiMARC 3MDR project and an IBM-partnered project using natural language for prediction and prognosis of PTSI/PTSD in Canadian Military and Veterans). His e-health research includes working with Professor Vincent Agyapong’s supportive text-messaging group, including projects arising from Text4Hope.

Date: Thursday, April 29^th, 2021 at 11-2pm EST
Location: Virtual
Hosted by: Michener Institute of Education at UHN, Vector Institute , IVADO
Supported by: Future Skills Centre

This inaugural Symposium aims to explore the theme building collaboration for deeper learning and better care. The event will feature a panel discussion, highlighting the expertise of those working with AI from across the country. Panelists will share their experiences with AI implementation and adoption into practice, followed by an interactive discussion and Q&A from Symposium attendees.

• Engage in a national dialogue on AI adoption in healthcare
• Promote AI innovation in Canadian healthcare
• Discuss leveraging AI to provide compassionate and high quality care

• Healthcare providers, leaders, researchers
• Champions of AI implementation
• Healthcare policy makers
• Healthcare industry partners

Muhammad Mamdani, PharmD, MA, MPH
Vice President – Data Science and Advanced Analytics at Unity Health Toronto
The Odette Chair in Advanced Analytics
Faculty Affiliate – The Vector Institute
Professor, University of Toronto

Dr. Mamdani is Vice President of Data Science and Advanced Analytics at Unity Health Toronto. Dr. Mamdani’s team bridges advanced analytics including machine learning with clinical and management decision making to improve patient outcomes and hospital efficiency. Dr. Mamdani is also Professor in the Department of Medicine of the Faculty of Medicine, the Leslie Dan Faculty of Pharmacy, and the Institute of Health Policy, Management and Evaluation of the Dalla Lana Faculty of Public Health. He is also adjunct Senior Scientist at the Institute for Clinical Evaluative Sciences (ICES) and a Faculty Affiliate of the Vector Institute, which is a leading institution for artificial intelligence research in Canada.

Dr. Mamdani holds a Doctor of Pharmacy degree from the University of Michigan, a fellowship in pharmacoeconomics from the Detroit Medical Centre, a Master of Arts degree in econometric theory from Wayne State University, and a Master of Public Health from Harvard University with a focus on statistics and epidemiology. He has previously been named among Canada’s Top 40 under 40. Dr. Mamdani’s research interests include pharmacoepidemiology, pharmacoeconomics, drug policy, and the application of advanced analytics approaches to clinical problems and health policy decision-making. He has published nearly 500 studies in peer-reviewed healthcare journals.