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AI for radiographic COVID-19 detection selects shortcuts over signal

Alex J. DeGrave, Joseph D. Janizek, Su-In Lee

2021 · Nature Machine Intelligence

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pjdesno
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The best story I heard about machine learning and radiology was when folks were racing to try to detect COVID in lung X-rays. As I recall, one group had fairly good success, but eventually someone figured out that their data set had images from a low-COVID hospital and a high-COVID hospital, and the lettering on the images used different fonts. The ML model was detecting the font, not the COVID. [a bit of googling later...] Here's a link to what I think was the debunking study: https://www.nature.com/articles/s42256-021-00338-7 If you're not at a university, try searching for "AI for radiographic COVID-19 detection selects shortcuts over signal" and you'll probably be able to find an open-access copy.
divergencefree
Neutral mention · rule
Yea this is what I was thinking of. Another work in that direction: https://www.nature.com/articles/s42256-021-00338-7 I never heard of the tanks story, but I vaguely remember stuff in radiology which was a similar story basically, it learned some spurious correlation to the label.

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