Our Projects
Research Projects
Research Project:
Cardiovascular disease (CVD) remain the leading cause of death in Canadian women, and recent data suggest mortality is increasing. Artificial Intelligent (AI) can play an important role in supporting clinicians and patients, yet rarely used. In this project we aim to develop and test an explainable intelligent system, Xi-Care, which will help clinicians to accurately and timely predict risk of CVD (at point of care) and equip women with a system that gives personalized recommendations for lowering their risk of CVD.
Research Project:
AID: Artificial Intelligence system for assessing and improving community-based Dementia care
In Canada, the proportion of adults over 65 years old with dementia was 9.2% in 2014, representing 564,000 people. This number is estimated to rise to 937,000 people in 2031. Dementia care cost Canada $20.9 billion per year. Accurate identification/predictions may help in dementia care and decreasing its costs. In this project we aim to collect data on physical movements of elders with dementia by monitoring their daily activities in-home continuously and develop an intelligent system, called AID, to detect/predict risk of dementia among elders.
Research Project:
Improving mental health care among adolescents using Artificial Intelligence
Research Project:
Artificial Intelligence for efficient Community based Primary Health Care
This project will result in an inventory that will inform future studies and increase awareness about existing AI interventions in community based primary health care and their outcomes, including a list of the knowledge gaps, needs and preferences about AI in community based primary health care.
Research Project:
Given COVID-19’s severity among high risk population, speed of transmission and spread across continents, it is critical to implement strategies to prevent and reduce the risk of transmission, and to ensure its timely management. AI can play an important role in different ways including prevention and management of the diseases. The goal of this workshop is to identify best strategies for: prevention and management of infectious diseases such as COVID-19 using AI, reducing public anxiety and mitigate global transmission risk during pandemics such as COVID-19.
Research Project:
Long-term care (LTC) facilities have been disproportionately affected by COVID-19 in many countries including Canada. At one point, Canada had the highest record of COVID-19 deaths in LTCs among the world’s wealthiest countries; Ontario, Quebec, Alberta, and Nova Scotia represented over 70% of all Canadian COVID-19 deaths. One of the crucial challenges for LTC facilities was their ability to identify, isolate presumptive cases in a timely manner to prevent outbreaks and monitor health status changes of residents without exposing staff to increased risk. AiCoV19 project seeks to develop an AI empowered system to identify/detect COVID-19 at early stages among LTC senior residents.
