What AI Can See in CT Scans That Humans Can't

If a picture is worth a thousand words, then a CT scan of the chest might as well be Atlas Shrugged. When you think of the sheer information content in one of those scans, it becomes immediately clear that our usual method of CT scan interpretation must be leaving a lot on the table. After all, we can go through all that information and come out with simply "normal" and call it a day.

Of course, radiologists can glean a lot from a CT scan, but they are trained to look for abnormalities. They can find pneumonia, emboli, fractures, and pneumothoraces, but the presence or absence of life-threatening abnormalities is still just a fraction of the data contained within a CT scan.

Pulling out more data from those images – data that may not indicate disease per se, but nevertheless tell us something important about a patient and their risks – might just fall to those entities that are primed to take a bunch of data and interpret it in new ways: artificial intelligence (AI).

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