Health AI Resources
Learn about health data science and artificial intelligence (AI)
About this page
This is a platform for learning about health data science and artificial intelligence (AI). We have assembled a selection of resources to help develop knowledge and skills in these areas.
Our team comes from a broad range of interests and expertise with the shared vision of advancing healthcare and health research using artificial intelligence methods.
Overview of Health Data Science & Artificial Intelligence
What is Artificial Intelligence (AI)?
This short video created by The Royal Society provides a simple overview of AI.
What Does a Health Data Scientist Do?
This article written by Lucy Rothwell describes “The Daily Life of a Health Data Scientist.” Health data scientists can work in a variety of sectors, including not-for-profit, for-profit, academia, government, start-ups, health systems, and more!
Artificial Intelligence Educational Module
Here is a quick and simple way to improve your knowledge on artificial intelligence through a series of easy-to-understand modules, which include AI basics, applications and ethical considerations.
Data Literacy
Statistics Canada has an excellent introduction to data literacy for those who may be new to data. Topics include a description of data literacy competencies required to effectively work with data, understanding the data journey, and a rich learning catalogue for all things data.
The Future is Now: AI in Family Medicine
This six-part video series features family medicine leaders in Canada who share their expertise in machine learning, natural language processing, ethics and AI research.
The Future is Now: Artificial Intelligence (AI) in Family Medicine
In collaboration with The College of Family Physicians of Canada, the Upstream Lab hosted a six-part monthly webinar series from December 2020 – June 2021 featuring family medicine leaders in Canada who shared their expertise in machine learning, natural language processing (teaching computers to understand human language), ethics, and AI research.
One Mainpro+® credit per session was offered to physicians who attended the live webinar.
Watch the videos below:
- Introduction to AI & Applications in Primary Care (Speakers: Dr. Andrew Pinto & Dr. Jaky Kueper)
- Machine Learning to Solve Primary Care Challenges (Speaker: Dr. Anders Lenskjold)
- Machine Learning Applied to Primary Care EMR Data for Classification (Speaker: Dr. Tyler Williamson)
- Natural Language Processing & its Role in Primary Care (Speaker: Dr. Noah Crampton)
- Machine Learning for Human Resource Management & to Predict Health Service Use (Speaker: Dr. Muhammad Mamdani)
- Social and Ethical Implications of AI and Primary Care (Speakers: Dr. Melissa McCradden, Dr. Carolyn Steele-Gray, Dr. Azza Eissa)
Questions?
To contact us or to suggest additional resources for this website, please email upstreamlab@unityhealth.to.