Obtaining the delta from two different images is actually non trivial. And contrary to what HN thinks, not every problem is trivially solved by machine learning

Obtaining the delta from two different images is actually non trivial. And contrary to what HN thinks, not every problem is trivially solved by machine learning. Small point aside: an ultrasound scan -- even if it was every feasible at home -- would not be an MRI. MRI means you use the spin echo and relaxation of nucleii (mostly protons for medical MRI). It is not a generic word for "please give me a 3d image". Words have meanings, especially when they are technical jargon, and it is important to not dilute that if we want to be able to communicate efficiently and effectively. Also: technology that is more mature than software tends to improve at a more measured pace, as all but the hardest breakthroughs have been obtained already. It is therefore unlikely that you will be able to replace a 10 million dollar machine by things in your home any time soon.