You have to be very careful with such claims. For example it may be able to tell apart tons of dog breeds at a superhuman level, but that's not really what people imagine if they hear such claims.
Also sometimes in medical imaging the conditions are very different from actual practice. For example the doctor may be worse than the convnet on certain types of low-quality, low-dynamic range images that someone preprocessed in a particular way. But sure, in the medical field some error prone, boring counting tasks and spot-the-cancer-in-your 200th-image-today, the machine can perform actually better.
