I agree that AI has potential on the scanner. My academic research uses HeartVista's RTHawk software, which is essentially a driver to enable real-time MR imagi

I agree that AI has potential on the scanner. My academic research uses HeartVista's RTHawk software, which is essentially a driver to enable real-time MR imaging on magnets where the original manufacturer's pulse sequence API doesn't offer good real-time scanning options. I don't use it for its intended purpose of cardiac imaging, but apparently their latest version takes an AI approach to the problem of locating the heart within the field of view, determining its orientation, and prescribing imaging planes through the heart so all the important views that a radiologist would want can be acquired quickly. GE might even be on the way to integrating some AI into their scanner tech stack. As of version DV26 you have to specify the anatomical location when you start scanning, and it inserts a SAR scout sequence at the start of the protocol. The SAR scout is apparently looking for shapes matching the indicated anatomy, and if it doesn't find them (say, you're scanning a water-filled phantom that's not shaped like the head/brain you specified) it complains that the SAR estimate won't be as good as it could be. I don't know how they've implemented it, GE might just be using some simpler computer vision for this, but it's the sort of problem that could be well served by AI.