About
Online Educational Materials on AI in Radiology
Learn About Applications of AI in Diagnostic Radiology
Artificial Intelligence in Radiology Education’s (AIRE) Course strives to provide high-quality and open-access educational resources for radiology trainees and professionals worldwide. Our course serves as an opportunity for radiologists to develop fundamental knowledge of AI, gain familiarity with the practical applications of AI in clinical practice, and find a community with fellow professionals pursuing a career in AI.
Free For Individual Learners and Training Programs
Everyone should have access to top-notch education on AI in radiology to keep up with the rapidly growing technology.
Free For Individual Learners and Training Programs
You can access our courses remotely and learn at your own pace from AI experts already using these tools in their practices.
Commitment to Diversity, Equity, and Inclusion
AIRE is committed to promoting a culture of diversity, equity, and inclusion healthcare and the field of AI. The AI Literacy Curriculum reaches learners from around the world from a variety of backgrounds and with a variety of perspectives. Our mission is to democratize access to fundamental AI education for radiologists and radiology trainees around the world, and in doing so, enable radiologists to use AI to improve patient safety, improve the delivery of healthcare, and promote health equity.
Course DEI Guidelines:
- Highlight the work radiologists and researchers from underrepresented backgrounds; annually, the course curriculum should include at least 50% women and URiM (underrepresented in medicine) lecturers.
- At least one (1) lecture per year should cover “ethics of AI in health care” and/or “algorithm bias”.
- Include DEI focused special topics sessions such as “Inclusivity in Informatics” and “AI and Global Radiology” in the annual curriculum.
If you are interested in starting your own course, feel free to consult the course DEI Directors when developing your curriculum.
Learn From a Community of Experts on AI in Radiology
