Elective Years 1 and 2: Artificial Intelligence and Machine Learning in Medicine: Basics and Applications

12 Hours

An elective in Artificial Intelligence (AI) and Machine Learning (ML) in Medicine offers the student a chance to familiarize themselves with the current and future state of medicine and how AI tools are affecting the way they practice medicine. The student will learn the basics of AI and medical AI through didactic lectures, seminars and case-based discussions and will have an opportunity to deploy their own medical AI tool through attending workshops and working on a project (optional component). Through the course, the student will learn how to speak the general language of AI and will be able to communicate with AI experts to collaborate and build newer AI tools in the healthcare space. The student will also develop a competency in critical appraisal and evaluation of AI literature and will be able to determine the impact of newer tools deployed in medicine. Special focus will also be given to ethics of using AI in healthcare.

Upon completing this elective, you will:

• Develop a basic understanding of how AI and ML work and their applications in medical specialties
• Understand the components, considerations, strengths, limitations, controversies, and ethics of AI, especially in terms of its clinical use cases
• Develop an understanding of the flow of information in healthcare and types of medical data
• Be able to understand and critically evaluate AI literature and AI tools in medicine
• Learn the basics of medical analytics and processing medical data through programming (in Python)

ELIGIBILITY CRITERIA

• Undergraduate medical students in Canadian institution

To register for this elective please complete this form by the deadline of Dec 15, 2022

https://forms.gle/rrMSprRjtXa6EwfJ8