this post was submitted on 13 Jul 2025
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One of the large issues was while they had very good rates of correct diagnosis, they also had higher false positive rates. A false cancer diagnosis can seriously hurt people for example
Iirc the issue was that the researchers left the manufacturer's logo on the scans.
All of the negative scans were done by the researchers on the same equipment while the positive scans were pulled from various sources. So the AI only learned to identify which scans had the logo.