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Pioneering Explainable AI in Healthcare

Reliable and Explainable AI
in Medical Imaging

Advancing the frontier of AI transparency in healthcare. We make complex AI systems understandable, trustworthy, and deployable with confidence.

AI Interpretability
Risk Mitigation
Trusted Deployment

Trusted Partners

University of Toronto

Institute of Medical Science

St. Francis Xavier

University

SOFTX

Infrastructure Sponsor

10+

Researchers

50+

Publications

5+

Partners

Our Purpose

Our Mission

Transforming the future of medical imaging through transparent, explainable artificial intelligence.

Innovation
Precision
Global Impact

Knowledge Synthesis

Synthesize, promote and make accessible information about explainable AI in the field of artificial intelligence and machine learning for medical imaging.

Collaborative Research

Foster collaboration between researchers, teachers, students and others within this field in collecting and sharing content along with active discussion.

Academic Network

Grow an academic network and research base for further expansion of AI knowledge, involving conferences, seminars, workshops, and meetings.

Leadership

Meet the Founders

Pioneering the integration of explainable AI in medical imaging research.

Portrait of Dr. Jacob Levman

Dr. Jacob Levman

Canada Research Chair in Bioinformatics

St. Francis Xavier University

Leading researcher in bioinformatics and machine learning applications in medical imaging.

Portrait of Dr. Pascal Tyrrell

Dr. Pascal Tyrrell

Data Scientist and Innovator

University of Toronto

Expert in data science methodologies and AI-driven healthcare solutions.

Interested in joining our research team?Get in touch

Our Members

A growing community of researchers, educators, and innovators dedicated to advancing explainable AI.

Coming Soon
Stay Updated

Upcoming Events

Join our conferences, workshops, and seminars to stay at the forefront of AI in medical imaging.

Featured Event

Inaugural
Virtual Meeting

Join us for our first virtual gathering, bringing together researchers and practitioners in explainable AI for medical imaging.

Coming Soon

Virtual Sessions

Join from anywhere

Networking

Connect with peers

Workshops

Hands-on learning

Subscribe to event updates

Learn & Grow

Research Resources

Explore our comprehensive collection of resources on explainable AI in medical imaging.

Research Papers

Access our collection of peer-reviewed publications on explainable AI in medical imaging.

Browse Papers

Documentation

Comprehensive guides and documentation on implementing explainable AI systems.

View Docs

Video Tutorials

Step-by-step video tutorials covering key concepts and practical implementations.

Watch Now
Why Explainable AI?

Benefits of Understanding AI Decisions

There are many advantages to understanding how an AI-enabled system has led to a specific output, especially in healthcare settings where trust is paramount.

1
Increased transparency in AI decision-making
2
Better clinical trust and adoption
3
Regulatory compliance support
4
Improved diagnostic accuracy
Get In Touch

Contact Us

Have questions or want to collaborate? We would love to hear from you.

Email Us

We will respond within 24 hours

contact@realmi.org

Location

University of Toronto & St. Francis Xavier University

Canada

Currently accepting collaborators

Join our growing network of researchers and institutions committed to advancing explainable AI in healthcare.