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.

News

  • Implementing AI in healthcare: an overview of the Health AI Deployment Symposium which took place in Toronto, Ontario on October 30th, 2019 as a joint collaboration between the Hospital for Sick Children and the Vector Institute
  • 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

Clinical Predictive Analytics at NYU Langone Health – lessons learned from a year of deploying an AI-based mortality prediction model across three hospitals

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

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