I’m not at that exact company, but a very similar one.

It’s AI because we essentially we just take early scans from people who are later diagnosed with respiratory illnesses and using that to train a neural network to recognise early signs that a human doctor wouldn’t notice.

The actual algorithm we started with and built upon is basically identical to one of the algoriths used in a generative AI models (the one that takes an image, does some maths wizardry on it and tells you how close the image is to the selected prompt). Of course we heavily modify it for our needs so it’s pretty different in the end product, and we’re not using its output to feedback into a denoiser and we have a lot of cognitive layers and some other tricks to bring the reliability up to a point we can actually use it denoise, but it’s still at its core the same algorithm.