Earlier quoted context omitted.
My impression of what's holding back improvements to CV and ML for medical images is that close to none of the research in the field will ever be put into practice. There's a huge amount of research done and then the companies actually producing the software used by technicians and doctors choose a tiny number of things to pick up, incorporate, test, get certified, and it takes years. People working in the field have…
I work in this field - IMO, your assessment is correct insofar as the absolute need for commercialization of research done. However, we haven't gotten to the super-human performance for medical images yet. We don't even have the ImageNet-equivalent, nor do we have any open source (or just source & weight available) models that Google and other big corp claim to be so wonderful. Most of people in the field, rightly so…
I guess that at least in France, most people living elsewhere than large towns do not need that.
What they need (IMO) is competent radiologists in a time of medical deserts.
Because even when there is staff, this staff do not spent enough time analyzing images while being quite expensive. Their main goal is to make money quickly.