Evaluation
Improving breast cancer screening workflows with machine learning
Our short summary of Google’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on research.google (opens in a new tab)Problem
A shortage of radiologists threatens the double‑read breast cancer screening process.
Solution
They built an AI system to act as a second reader, ran large retrospective and prospective studies, and showed it can match or improve detection while easing workload.
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on research.google (opens in a new tab)
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