We need AI-trained radiologists in every practice. Become one by applying for the first Clinical AI Fellowship in Australia!
Who wants to be a clinical AI informaticist?
The FDA has approved AI-based PET/MRI “denoising”. How safe is this technology?
Super-resolution promises to be one of the most impactful medical imaging AI technologies, but only if it is safe. This week we saw the FDA approve the first MRI super-resolution product, from the same company that received approval for a similar PET product last year. This news seems as good a reason as any to talk about the safety concerns myself and many other people have with these systems.
Improving Medical AI Safety by Addressing Hidden Stratification
Medical AI testing is unsafe, but addressing hidden stratification may be a way to prevent harm, without upending the current regulatory environment.
AI competitions don’t produce useful models
Ai competitions are fun, community building, talent scouting, brand promoting, and attention grabbing. But competitions are not intended to develop useful models.
The best medical AI research (that you probably haven’t heard of)
I discuss a piece of medical AI research that has not received much attention, but actually did a proper clinical trial!
Ten controversial opinions about medical AI
Forget about interpretability, don't share your code or data, and remember, AI is magic.
Half a million x-rays! First impressions of the Stanford and MIT chest x-ray datasets
My first impressions of these datasets. How do they measure up, and how useful might they be?
Medical AI Safety: Doing it wrong.
Medical AI has a safety problem; we know for a fact our testing isn't reliable. We've seen how this plays out before.
Medical AI Safety: We have a problem.
For the first time ever AI systems can directly harm patients. Are we doing enough to prevent a medical AI tragedy, the equivalent of a thalidomide event?
Explain yourself, machine. Producing simple text descriptions for AI interpretability.
Humans explain their decisions with words. In our latest work, we suggest AI systems should do the same.
