The way we currently report human performance systematically underestimates it, making AI look better than it is.
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.
Medical AI testing is unsafe, but addressing hidden stratification may be a way to prevent harm, without upending the current regulatory environment.
I discuss a piece of medical AI research that has not received much attention, but actually did a proper clinical trial!
My first impressions of these datasets. How do they measure up, and how useful might they be?
Medical AI has a safety problem; we know for a fact our testing isn't reliable. We've seen how this plays out before.
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?