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Apart from the potentially massive significance to low-income countries and health costs, does someone has a good grasp on the applicability of the algorithmical advances towards classic MRI?

My current gut feeling is like: If 0.055 Tesla can create this kind of image quality, what could we possibly expect at 1.5 or more?

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You can expect a lot and you get it. It's truely impressive what a bog standard 1.5 or 3T magnet can do and how fast it can do it. A standard brain protocol will often include whole brain imaging at 0.8mm x 0.8mm x 0.8mm voxel size or thereabouts. It takes about 4-5 minutes. A leg angio done from start to finish in 20 minutes. This is without more advanced processing, and some clever processing is coming into clinical use now. Deep Resolve (Siemens) and Compressed Sense/Sensing (Philips/Siemens) are what I'm thinking of. Faster scans, or more resolution in the same time. It's a good time to be using MRI.

Edit: Compressed sense/sensing is not some AI/Machine learning thing. It's pretty neat though, a PR video here. https://www.siemens-healthineers.com/magnetic-resonance-imag...

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