AMS Announces 2020 Fellows in Compassion and Artificial Intelligence

Updated: Feb 12

Published: January 25, 2021 Source: https://www.ams-inc.on.ca/


AMS Healthcare is pleased to announce the inaugural cadre of our Fellows in Compassion and Artificial Intelligence. These 11 exceptional individuals, from across multiple disciplines, have been selected as innovators and leaders to steward the changes ahead in healthcare. They will explore the rapid integration of technology, ensuring new models of care remain grounded in healthcare’s compassionate purpose. Their collective research will innovate medicine and clinical care, healthcare education, home care and beyond. “AMS wants to ensure that healthcare remains compassionate in an era of emerging and disruptive technologies” says AMS CEO Gail Paech. “The work of these trailblazers will be critical in that pursuit.”


Daniel Buchman

Understanding AI implications for stigma and compassion in mental health and addiction

Bioethicist- Independent Scientist, Centre for Addiction and Mental Health


Ben Chin-Yee

Exploring the impact of genomics and AI on health equity and compassionate care in oncology

Clinical Fellow, Schulich School of Medicine, Western University


Laura Desveaux

Understanding the emerging intersection between digitally-enabled and compassionate care.

Scientist, Women’s College Hospital


Dorothy Kessler

Developing tools to assist people with cognitive decline benefit from home monitoring technologies.

Assistant Professor, School of Rehabilitation Therapy, Queen’s University


Lyndsay MacKay

Developing an AI-enabled program that codes parent-infant interaction quality

Postdoctoral Fellow, Faculty of Nursing, University of Calgary


Stella Ng

Developing teaching approaches to support compassionate virtual care

Director of Research, Centre for Faculty Development, St. Michael’s Hospital, Unity Health Toronto


Carolyn Steele-Gray

Exploring how trust-based relationships, needed for compassionate care, can be built (or prevented) through digital health tools

Scientist, Lunenfeld-Tannenbaum Research Institute, Sinai Health System


Jennifer Stinson

Enhancing pediatric pain research and compassionate pain care through the integration of AI methods

Nurse Clinician-Scientist, The Hospital for Sick Children (SickKids)


Babak Taati

Using AI to reduce falls in long-term care

Scientist, KITE, Toronto Rehabilitation Institute- University Health Network


Amol Verma Evaluating AI prediction tools in enhancing compassionate care in hospital Physician-Scientist, St. Michael’s Hospital, Unity Health Toronto

Martin Wellman

Creating an AI tool to predict the survival of long-term care residents with Covid-19 infection

Postdoctoral Fellow, Ottawa Hospital Research Institute


AMS works to advance a Canadian healthcare system through innovation and technology while remaining rooted in compassion and our medical history. We convene networks, develop leaders, and fund crucial activities in medical history, healthcare research, education, and clinical practice. Our work helps improve care for all Canadians.

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