Innovation doesn't happen in a vacuum. Jointly embedded in Canada's largest hospital network and the University of Toronto, our research brings together experts and trainees in computer science, medicine, biology, and physics to solve impactful problems at the intersection of artificial intelligence and medicine.
Medical domains: Our work includes a variety of data modalities (biological, wearable, structured reporting, and imaging) and critical diseases such as cancer and heart disease. We work closely with clinicians to understand and ultimately augment patient care with AI.
AI technologies: Solving clinical problems means pushing and extending the boundaries of AI technology including semi-supervised learning, domain adaptation/model generalization, meta-learning, and multi-modal data fusion.
Data: We work on datasets of all shapes and sizes, from rare diseases with rich structured data but few patients, to diverse imaging datasets in the tens of thousands.
Keep reading below for example projects.