There is an unprecedented opportunity for world-leading machine learning research and innovation that builds the data advantage stemming from our public health system.
Working with partners in the health and academic sectors, Vector will support and enable health AI research and innovation across a wide range of topics.
Vector Institute Health Strategy
Click here to download Vector’s Health Strategy Phase I
Pathfinder Projects
The Vector Institute is supporting a series of Pathfinder Projects to implement AI-assisted technologies in the health sector. Pathfinder Projects are small-scale efforts designed to produce results in 12 to 18 months that guide future research and technology adoption. With technical and resource support from the Vector Institute, they each bring together a multidisciplinary research team to tackle an important health care problem or opportunity using machine learning and AI more broadly. Each project was chosen for its potential to help identify a “path” through which world-class machine learning research can be translated into widespread benefits for patients.
- AI Early Warning for Patients at Risk of Needing Transfer to Intensive Care Unit (ICU) in partnership with St. Michael’s Hospital.
- AI Tick Identification to Combat Lyme Disease in partnership with Public Health Ontario.
- Enhancing Radiology with AI in partnership with University Health Network (UHN) and the University of Waterloo.
- AI-enhanced “MEDLY” for Remote Monitoring of Patients with Congestive Heart Failure in partnership with UHN.
- Artemis Machine Learning for Early Diagnosis of Life-Threatening Infection in Premature Infants in partnership with Ontario Tech University McMaster Children’s Hospital and Southlake Regional Health Centre.
News
- CTV Kitchener: AI system more accurately identifies collapsed lungs using chest x-rays
- CityTV: Artificial Intelligence to give Toronto doctors a 2nd opinion
- Canadian Healthcare Technology: Artificial intelligence makes strides as an intelligent assistant
- Globe and Mail: SickKids announces Vector Faculty Member, Anna Goldenberg, as the hospital’s first chair in biomedical informatics and artificial intelligence
AI Researchers can Directly Help Individual Patients
White Coat, Black Box: Augmenting Clinical Care with AI
From Data to Decisions: Large-scale causal inference in biomedicine
Good Machine Learning for Better Healthcare
Data Sharing and the Human Right to Benefit from Science and its Applications
Health AI Rounds: Dr. Yin Aphinyanaphongs- Clinical Predictive Analytics at NYU Langone Health