Artificial Intelligence in Healthcare

Engage with the future of healthcare through our AI in Healthcare course. Created by a collaborative interprofessional team of healthcare professionals and AI leaders from three academic institutions with the expertise of course developers at Queen’s University Health Sciences, this unique and timely course is about harnessing technology to elevate patient care, improve outcomes, and optimize practice efficiency.

Course Details

Designed to cater to a broad spectrum of health professional learners, our course focuses on fundamental AI concepts and ethics, while providing deeper perspectives for those eager to attain a comprehensive understanding of how AI works. Designed to help you augment your existing and future practice with AI, our one-of-a-kind accredited course equips you with the knowledge and tools to navigate this exciting convergence.

Topic Details

Topics include:

Module 01: Introduction to Artificial Intelligence in Healthcare

Module 02: Basics of Machine Learning

Module 03: Principles of Machine Learning

Module 04: Decision Trees and the Intelligence of Deep Networks

Module 05: Convolutional Networks and Transformers

Optional: Module 05 Supplementary: Deep Network Code Examples

Module 06: Ethics of AI in Healthcare

Module 07: Applications of Ethics in AI

Content Experts

The content developers for this course are located within the Toronto-Waterloo Corridor, which was recently ranked in the Top 20, globally, for technology-based start-ups working in AI, cybersecurity, fintech, healthtech, and sustainability. The region supports one of the largest technology innovation clusters in North America, second only to Silicon Valley in California.

Doug Dittmer MD, President, Canadian Strategic Clinical Innovation Network Inc. (CSCIN)

James Tung PhD, Associate Professor, Mechanical & Mechatronics Engineering, Faculty of Engineering University of Waterloo

Bryan Tripp PhD, Associate Professor, Systems Design Engineering, University of Waterloo

Joshua August (Gus) Skorburg PhD, Assistant Professor of Philosophy and Co-Academic Director of the Centre for Advancing Responsible and Ethical Artificial Intelligence (CARE-AI), Faculty Affiliate at the One Health Institute, University of Guelph; Adjunct Professor in the Fuqua School of Business at Duke University

Steve F. Cross PhD, Director of Strategic Initiatives in Health & Life Sciences at Conestoga College, Senior Research Fellow at Wilfred Laurier University, Adjunct Professor at University of Victoria and Vancouver Island University

Accreditation Details

This online at your own pace program was accredited by Queen’s University for 15 Self-Assessment learning hours for the Royal College and 15 Mainpro+ Credits in the Self-Learning Category for the CFPC.

Who should take this course?

This course is structured specifically for the healthcare professional and offers a general introduction to how the evolution of AI tools is applied currently and is envisioned to impact the future healthcare environment.

Non-refundable fee details

Fee is $995 CAD for 1 year access

Early bird rate ends December 31, 2023.

This program is non-refundable

To proceed with purchasing the program, click the enroll button.

Price: $795.00
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