Developing 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 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.
Read MoreCreating an AI tool to predict survival of long-term care residents with Covid-19 infection
Martin is creating a machine-learning based mortality risk prediction tool for COVID-19 positive residents in all Ontario LTC homes.
Read MoreExploring the implications of artificial intelligence in healthcare
James’s project involved bringing a responsible-innovation approach to healthcare’s growing interest in artificial intelligence (AI).
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