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The NNOX discussion reminded me of the FastMRI.

https://www.fastcompany.com/90540465/facebook-and-nyu-are-us...


MRIs take time, the patient must remain still, etc.
FB and NY University teamed to use FB AI to determine if an MRI with "holes" in the data could be "cleaned up and sharpened (my terms)" in a way that was comparable to standard MRIs.

Some standard MRIs were taken, some of the data was deleted, creating a data set with holes, and FBs AI filled in the holes. At least that's how I understand it.

The study, conducted by NYU researchers, took conventional MRI scans of the knees of 108 patients, pulled out some of the raw data, and created new MRI scans using AI to produce an image based off this new, limited set of information. Six radiologists reviewed all of the scans and made clinical recommendations for each. The study found that overall, radiologists made the same recommendations for the original scan as they did for the fastMRI scan.

Researchers say that the radiologists preferred the quality of the FastMRI over the traditional and only one was reliably able to discern the difference between the two. The study says that the results suggest the medical community may be keen to adopt FastMRI technology if and when it becomes available.


Is NNOX using AI to improve the xray imaging?

😷
ralph
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