Understanding AI implications for stigma and compassion in mental health and addiction
Daniel seeks to identify whether the presence of AI language related to mental health and addiction influences clinicians’ levels of stigma, empathy, and compassion.
Read MoreExploring the impact of genomics and AI on health equity and compassionate care in oncology
Ben is examining potential disparities arising from the application of genomics and machine learning to predict clinical outcomes.
Read MoreUnderstanding the emerging intersection between digitally-enabled and compassionate care.
Laura is exploring how digital care influences interactions in primary care and how we can leverage technology to amplify compassion.
Read MoreDeveloping tools to assist people with cognitive decline benefit from home monitoring technologies
Dorothy will work to ensure people with Mild Cognitive Impairment benefit from monitoring technology and can remain safely in their homes.
Read MoreDeveloping an AI enabled program that codes parent-infant interaction quality
Lyndsay will develop an AI enabled program to rapidly code interactions so clinicians can provide feedback aimed at improving parent-child interactions.
Read MoreDeveloping teaching approaches to support compassionate virtual care
Stella is creating materials for health professions teachers to support their ability to foster compassion and equity during virtual care teaching.
Read MoreExploring how trust-based relationships, needed for compassionate care, can be built (or prevented) through digital health tools
Carolyn wants to understand how technology-based interactions can influence patient-provider therapeutic relationships and provider-provider team relationships.
Read MoreEnhancing paediatric pain research and compassionate pain care through the integration of AI methods
Jennifer’s work focuses on enhancing youth engagement in digital pain self-management solutions.
Read MoreUsing AI to reduce falls in long-term care
Building up on several years of transdisciplinary research, Babak’s work will clinically validate an intelligent fall risk assessment system.
Read MoreEvaluating AI prediction tools in enhancing compassionate care in hospital
Amol is implementing and evaluating an AI prediction tool to understand if it enhances compassionate care by enabling clinicians to treat patients earlier and improve communication.
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