This is far from the first company to try to tackle AI radiology, or even AI x-ray radiology. It's not even the first company to have a model that works on par or better than radiologists. I'm curious how they solve the commercial angle here, which seems to be the big point of failure.
The real problem is liability. Radiologist, if they make a mistake can be sued. Who are you going to sue when the program misdiagnoses you?
NB. In all claims I've seen so far about outperforming radiologist, the common denominator was that people creating these models have mostly never even seen a real radiologist and had no idea how to read the images. Subsequently, the models "worked" due to some kind of luck, where they accidentally (or deliberately) were fed data that made them look good.
