Quantcast
Channel: safety – Luke Oakden-Rayner
Browsing index pages (8 articles)

AI has the worst superpower… medical racism.

Medical AI can detect the racial identity of patients from x-rays. This is extremely concerning, and raises urgent questions about how we test medical AI systems.

View Article


Docs are ROCs: a simple fix for a “methodologically indefensible” practice in...

The way we currently report human performance systematically underestimates it, making AI look better than it is.

View Article


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...

View Article

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.

View Article

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!

View Article


Half a million x-rays! First impressions of the Stanford and MIT chest x-ray...

My first impressions of these datasets. How do they measure up, and how useful might they be?

View Article

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.

View Article

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?

View Article

Browsing index pages (8 articles)


Latest Images