"People should stop training radiologists now. It’s just completely obvious that within 5 years deep learning is going to do better than radiologists… It might be 10 years, but we’ve got plenty of radiologists already.” -Geoffrey Hinton (Presentation to the American Association of Physicists in Medicine - Oct 2016)

“I consider autonomous driving to be a basically solved problem… We’re less than two years away from complete autonomy.” -Elon Musk (Time Magazine/Code Conference 2016)

Yet here we are in 2026, radiologists still driving their Tesla to the hospital.

This talk presents an overview of how AI is being used in healthcare and honest perspective of what is real, what is hype and where AI is going.

• What are the high value use cases for AI in medical imaging?
• What's hype and what's real - when is AI going to replace radiologists? What are the challenges limiting progress?
• Talk nerdy to me: how a training and inference pipeline is created, from acquiring and pre-processing data, model architectures and clinical deployment
• Quality, risk and regulatory considerations when AI is involved in life and death decisions
• Trends - Agentic AI and foundation models - so hot right now
• Local eco-system - what companies in the lower mainland are doing: e.g. Clarius, mlHealth, Synthesis Health and others
• Why AI companies are their own worst enemies

All this framed in the context of how to apply fundamental principles of product management:
*What problem(s) are you solving and for whom?
*Follow the money - i.e. get your business model right
*Measuring the right KPIs
*Misalignment of incentives - why is it so hard to enact change in healthcare?
*Getting Beyond User Personas - buyers, influencers, procurement etc.
*From prototype to retirement - the Technology Adoption Life Cycle (tipping my hat to Geoffrey Moore)

Bio: Brian has spent 30 years developing enterprise scale software for healthcare, developing medical imaging and electronic medical record systems for Fortune 500 companies, startups and healthcare providers, most recently senior product manager at mlHealth 360, a Surrey-based startup developing AI algorithms for analyzing medical images.