AI Medical Imaging

AI Medical Imaging

Globally, Imaging is under severe capacity strain with an 11% (UK) annual increase in scan volumes (with added specialism and complexity) and reduced time to diagnosis targets -with no significant increase in the number of reporters.

Globally, Imaging is under severe capacity strain with an 11% (UK) annual increase in scan volumes (with added specialism and complexity) and reduced time to diagnosis targets -with no significant increase in the number of reporters. Hence the potential of Imaging AI to revolutionise and become the saviour of diagnostics as we know it. However, there is a lot of ‘talk’ surrounding AI, particularly in Imaging and Radiology. And this talk ain’t cheap!


Given the fact that Imaging AI is a relatively new and evolving innovation, some 50-100 ‘Imaging AI companies’ have raised 100s of millions (if not billions by now) in VC, despite there being only 7 FDA and CE approved algorithms at the beginning of 2019. That figure has at least doubled during 2019, which demonstrates the speed of current advancement.

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