AI Learning Resources
Foundations of AI in Healthcare
This Foundations of AI in Healthcare course is part of a broader program on AI Education and Ethics, designed to build progressive AI literacy. The course begins with the AI Essentials module, which introduces foundational concepts. Later modules will focus on critical appraisal of AI tools, ethical and responsible use, AI equity and bias, common problems, and verification strategies. Together, these modules support informed, ethical, and responsible engagement with AI across clinical practice, research, and education. In the near future, more advanced courses on AI applications in teaching, research, and education will be available.
Note: This course is free for anyone to take. When you launch the module below, you will be prompted to enter your name and email address.* Your progress is not tracked, so if you only complete a portion of a module and come back later, you will need to make note of where you left off and use the navigation within the module to return to that point.
This module is designed to provide foundational concepts. By the end of this module, faculty will be able to:
- Define artificial intelligence and distinguish it from traditional software
- Describe the relationship between AI, machine learning, and deep learning
- Understand how these AI models function conceptually
- Identify key differences between generative AI and other AI types
- Recognize examples of AI applications relevant to their professional context (clinical, research, education)
The University of Calgary (UCalgary) respects your privacy and is committed to ensuring the privacy of all students, staff, and community members. Your personal information is being collected under the authority of section 4(c) of the Protection of Privacy Act (POPA). It will be collected, used and disclosed for the purposes outlined in UCalgary’s Notice of Collection, Use and Disclosure of Personal Information and managed in accordance with UCalgary’s Privacy Management Program. Your personal information may be input into automated systems to generate content or make decisions, recommendations, or predictions. If you have questions regarding this notice or UCalgary’s collection, use, or disclosure of your personal information, please contact accessandprivacy@ucalgary.ca.
Stay tuned for more self-paced learning modules to come down the road.
Reducing Administrative Burdens in Medicine with AI
A series of videos on how to use AI to help you reduce your administrative workload.
By Dr. Christopher Hahn
Administrative work is a well-recognized contributor to burnout. It directly competes with the time we could spend on our research, with our students, with our patients, with ourselves, and with our families. This series demonstrates practical, step-by-step ways to use current AI tools to simplify common administrative workflows for academics and physicians while emphasizing confidentiality and appropriate use. Each episode teaches a different specific workflow and also serves to spark ideas for other ways to safely leverage AI tools for non-clinical tasks.
Many reference letters get written days or hours before the deadline, long after your specific memories of the trainee have faded. This video builds a reusable process in Microsoft Copilot (with a short optional Claude demonstration at the end) so you can start a draft the moment someone asks, while your memory is fresh. It works from your own previous letters to capture how you write, then interviews you about the trainee rather than asking you to write it out. The result is a decent draft, but more importantly an accurate record of the trainee's skills and experiences that you can save right away and edit when you have more time. It also discusses some of obvious objections of using AI for reference letters including confidentiality, accountability, creativity and potential bias.
-
Accompanying Files
The files below are referenced in the video.