Deep learning and breast screening converge, promising early cancer detection

Three decades after their independent origins, deep learning and breast screening are converging. The result could be a highly accurate early diagnostic test for breast cancer, the most common cancer, but prospective validation is still needed.

• Historical opinion piece traces the parallel development of deep learning (1986) and population breast screening (1986).
• No primary data are presented; the article speculates on future potential.
• Limitation: Real-world performance and clinical impact remain unproven.

Automated summary

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