AI Foundations for Medical Imaging & Radiation Therapy
AI Foundations for Medical Imaging & Radiation Therapy:
at a glance
Credential(s) Earned: Certificate
Program Length: 4 weeks
Start Date: May 16, 2023
Tuition: Funded by the Future Skills Centre during the granting period (September 2023)
Application Deadline: May 12, 2023
Program Code: AIMR110
As part of the Accelerating the Adoption of Artificial Intelligence in Healthcare project, the AI Foundations for Medical Imaging and Radiation Therapy Course aims to support practicing clinicians in Canada as they engage in, prepare for, and contribute to AI-enabled practice in their fields. Content will be provided online through pre-readings and virtual class sessions.
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Who is This Program Intended For?
This course is intended for physicians, nurses, medical radiation technologists, and physicists in medical imaging and radiation therapy.
The AI Foundations for Medical Imaging and Radiation Therapy Course is delivered in English and is designed to provide a working knowledge of AI and foundational skills in engaging with AI and data in practice. It is designed to help practicing clinicians in Canada be actively involved in conversations about AI and related development and implementation projects. No previous knowledge of AI is required.
Through this certificate course, you will:
- Appreciate the principles of digital representation, computer vision, and deep learning in the context of related imaging workflows in radiology and oncology
- Navigate the requirements of a clinical project from conception to segmentation, training, optimization, and deployment
- Leverage learnings from relevant projects to address data governance, validation, stakeholder buy-in, vendor and interprofessional collaborations, and other development and implementation considerations in other clinical AI initiatives
This program is one (1) course that is made up of four (4) weeks. Each week contains learning objectives, course reading materials, and a virtual class session. You are encouraged to identify your own learning needs and go beyond the material provided each week through additional resources. Following the first two (2) weeks of common foundational content, learners will be invited to select from two (2) concurrent sessions for each of the final two (2) weeks, with one focusing on medical imaging cases and the other on radiation therapy cases.
Course Dates: May 16, 25, 30 & June 6
Time: 4:00 to 6:00 pm EST
To register for this program, complete the application form . As there are limited seats for this cohort, you will receive a confirmation of registration starting in May.
Have a question? Email: firstname.lastname@example.org.
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Application deadline: May 12, 2023
Registration deadline: May 15, 2023
Is there a difference between the application deadline and the registration deadline?
Yes. The application deadline is the date and time by which applications for admission to the AI Foundations for Medical Imaging and Radiation Therapy must be received by Michener’s Registrar’s Office.
The registration deadline is the date and time by which successful applicants must officially enrol in the program and pay the relevant course fees. You will be advised of the registration deadline in your offer of admission.
When will I gain access to the program?
Course details will be emailed within five (5) business days of registration.
Have a question? Reach out to us at email@example.com.
Frequently Asked Questions
Is there a course fee?
No, there is no fee for the course. The course is sponsored by the grant funder Future Skills Canada (in English and French) during the granting period until September 2023.
Will the class sessions be recorded?
The class sessions will be recorded; however, we strongly encourage attendance to get the most out of the course. Please note there may also be instances where we need to pause and subsequently resume the recording during class.
Additional Accelerating AI in Healthcare Project Programs
- AI and Mental Health: Practical Opportunities for Clinical Implementation
This expert-led four (4)-week program aims to support healthcare professionals as they prepare for implementation of AI into the field of mental health and addictions care through virtual class sessions, reflections and use cases.
These programs are sponsored by the Future Skills Centre during the granting period (September 2023).
Other Michener Programs
- Special Topics in the Digital Revolution: The Road to Artificial Intelligence in Health Care 101
Through this six (6)-week access course, anyone who is interested will learn about artificial intelligence in the Canada context, its effects on privacy and ethics in professional practices, and its impacts on educational and workplace environments.
- Artificial Intelligence Fundamentals Course
This 12-week online course provides an introduction to the discipline of artificial intelligence and will lay the groundwork for understanding AI. Starting with a brief history, it then discusses concepts and models required for learning how to apply AI with specific references to the healthcare environment.
- Artificial Intelligence in Health Care Certificate Program
Through this 15-month program, certified/regulated health care providers, IT professionals, and health care informatics professionals will acquire data science and analytic skills, learn how to implement AI solutions, and participate in creating an AI solution.
- Digital Health and Data Analytics Advanced Diploma
Through this two (2)-year program with practicums, professionals with a bachelor’s degree will develop a deep understanding of the key concepts, issues and challenges in digital health and data analytics, along with the ever-changing capabilities of AI and machine learning and the role they play in patient-driven healthcare and personalized medicine.
Accelerating the Adoption of Artificial Intelligence in Healthcare is funded by the Government of Canada’s Future Skills Centre. Le projet est financé par le Centre des Compétences futures du gouvernement du Canada.
COVID Vaccine Requirement:
Proof of full vaccination will be required.
Instructions to upload proof of COVID vaccination to Self Service